Visualizing, Modeling and Forecasting Crashes in Wake County, North Carolina
Cortlyn Morris, Kelly Wentzlof, Ayan Gulzar
6/11/2021
Loading Necessary Packages
library(reshape2)
library(tidyverse)
library(ggplot2)
library(dplyr)
library(dslabs)
library(ggrepel)
library(ggthemes)
library(maps)
library(scales)
library(zoo)Setting Working Directory
setwd("/Users/cmorris/Desktop/dsreu2021/rstudiodirectory/ResearchProject")Reading and Merging the Data
##Code for Cortlyn's computer (Mac)
setwd("/Users/cmorris/Desktop/dsreu2021/rstudiodirectory/ResearchProject")
persons <- read.csv(file="Persons_Involved_in_Crashes.csv")
glimpse(persons)## Rows: 387,997
## Columns: 27
## $ key_crash <int> 122020, 122020, 122020, 122020, 122021, 1220…
## $ OBJECTID <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 1…
## $ City <chr> "ORISKANY", "ORISKANY", "RALEIGH", "KENTWOOD…
## $ DLClass <chr> "", "", "C", "", "C", "C", "", "", "C", "C",…
## $ DLRestrictions <chr> "", "", "0", "", "0", "0", "", "", "0,1", "1…
## $ DLState <chr> "", "", "NC", "", "NC", "NC", "", "", "NC", …
## $ CDL <chr> "No", "No", "No", "No", "No", "No", "No", "N…
## $ Age <int> 59, 54, 34, 65, 22, 20, 15, 17, 21, 40, 19, …
## $ VehicleSeizure <chr> "", "", "No", "", "No", "No", "", "", "No", …
## $ AlcoholSuspected <chr> "", "", "No", "", "No", "No", "", "", "No", …
## $ AlcoholTest <chr> "", "", "No test", "", "No test", "No test",…
## $ AlcoholResultType <chr> "", "", "No test", "", "No test", "No test",…
## $ AirbagSwitch <chr> "No ON-OFF switch", "No ON-OFF switch", "No …
## $ AirbagDeployed <chr> "No Air Bag(s)", "No Air Bag(s)", "Not deplo…
## $ Ejection <chr> "Not ejected", "Not ejected", "Not ejected",…
## $ Gender <chr> "Male", "Female", "Male", "Male", "Male", "F…
## $ Race <chr> "White", "White", "Black", "Black", "White",…
## $ Injury <chr> "No injury", "No injury", "No injury", "No i…
## $ Protection <chr> "Shoulder and lap belt", "Lap belt only", "S…
## $ Trapped <chr> "No", "No", "No", "No", "No", "No", "No", "N…
## $ PersonType <chr> "Passenger", "Passenger", "Driver", "Passeng…
## $ VisionObstruction <chr> "", "", "None", "", "None", "None", "", "", …
## $ ContributingCircumstance1 <chr> "", "", "No contributing circumstances indic…
## $ ContributingCircumstance2 <chr> "", "", "", "", "", "", "", "", "", "Alcohol…
## $ ContributingCircumstance3 <chr> "", "", "", "", "", "", "", "", "", "", "", …
## $ VehicleType <chr> "Pickup", "Pickup", "Passenger car", "Passen…
## $ crash_date <chr> "2015/01/04 23:27:00+00", "2015/01/04 23:27:…locations <- read.csv(file="Reported_Crash_Locations.csv")
glimpse(locations)## Rows: 152,066
## Columns: 48
## $ X <dbl> -8753864, -8746306, -8746473, -8760165, -876…
## $ Y <dbl> 4282020, 4273095, 4280097, 4274482, 4285427,…
## $ OBJECTID <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 1…
## $ key_crash <int> 121838, 121840, 121843, 121848, 121850, 1218…
## $ DateOfCrash <chr> "2015/01/01 11:42:00+00", "2015/01/01 13:07:…
## $ LocalUse <chr> "P15000024", "P15000038", "P15000054", "P150…
## $ LocationRelationToRoad <chr> "On Roadway (Surface) / Off Roadway", "Outsi…
## $ LocationInNearIndicator <chr> "In", "In", "In", "In", "In", "In", "In", "I…
## $ LocationCity <chr> "RALEIGH", "RALEIGH", "RALEIGH", "RALEIGH", …
## $ LocationRoadNameOn <chr> "LYNN RD", "3955 NEW BERN AVE", "WALLINGFORD…
## $ LocationRampIndicator <chr> "No", "No", "No", "Yes", "No", "No", "No", "…
## $ LocationFeetFromRoad <int> 5, 100, 500, 25, 50, 360, 620, 0, 10, 20, 0,…
## $ LocationMilesFromRoad <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ LocationDirectionFromRoad <chr> "E", "N", "E", "E", "NW", "E", "SE", "", "N"…
## $ LocationAtFromIndicator <chr> "From", "From", "From", "From", "From", "Fro…
## $ LocationRoadNameAt <chr> "SIX FORKS RD", "NEW BERN AVE", "PENCE CT", …
## $ LocationDirectionToRoad <chr> "E", "N", "E", "E", "NW", "E", "SE", "NW", "…
## $ LocationRoadNameTo <chr> "SANDY FORKS RD", "BEACON VILLAGE DR", "KRES…
## $ FirstHarmfulEvent <chr> "Ran off road - right", "Rear end, slow or s…
## $ MostHarmfulEvent <chr> "Ran off road - right", "Rear end, slow or s…
## $ RoadClassification <chr> "Local Street", "Public Vehicular Area", "Lo…
## $ RoadFeature <chr> "Four-way intersection", "No Special Feature…
## $ TrafficControlType <chr> "Stop and go signal", "No control present", …
## $ WeatherCondition1 <chr> "Clear", "Clear", "Clear", "Clear", "Clear",…
## $ WeatherCondition2 <chr> "", "", "", "", "", "", "", "", "", "", "", …
## $ WeatherContributedToCrash <chr> "No", "No", "No", "No", "No", "No", "No", "N…
## $ UpdateDate <chr> "2015/01/02 22:40:00.609+00", "2015/01/02 22…
## $ Crash_Date_Day <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
## $ Crash_Date_DOW <chr> "Thursday", "Thursday", "Thursday", "Thursda…
## $ Crash_Date_DOW_Num <int> 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,…
## $ Crash_Date_Hour <int> 1, 3, 4, 2, 3, 1, 9, 6, 12, 1, 11, 13, 13, 1…
## $ Crash_Date_Month <chr> "January", "January", "January", "January", …
## $ Crash_Date_Month_Num <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
## $ Crash_Date_Year <int> 2015, 2015, 2015, 2015, 2015, 2015, 2015, 20…
## $ drivers <int> 2, 2, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2,…
## $ passengers <int> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1,…
## $ pedestrians <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ pedalcyclists <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ other_person_type <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ unknown_person_type <int> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
## $ killed <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ type_a_injury <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ type_b_injury <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ type_c_injury <int> 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0,…
## $ no_injury <int> 2, 3, 1, 1, 1, 1, 1, 0, 0, 1, 3, 2, 1, 0, 3,…
## $ injury_unknown <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,…
## $ LocationLatitude <dbl> 35.8647, 35.7997, 35.8507, 35.8098, 35.8895,…
## $ LocationLongitude <dbl> -78.6373, -78.5694, -78.5709, -78.6939, -78.… crashes <- persons %>% left_join(locations, by="key_crash")
#Code for Kelly's computer (Windows)
#library(readr)
#persons <- read_csv("~/NCAT REU/Mostafa/Data/Persons_Involved_in_Crashes.csv")
#
#locations <- read_csv("~/NCAT REU/Mostafa/Data/Reported_Crash_Locations.csv")
#
#crashes <- persons %>% left_join(locations, by="key_crash")
# Code for Ayan's computer (Window)
#library(readr)
# persons <- read_csv("C:/Users/ayang/Desktop/Project FIles REU A&T/REU Research Project1/Persons_Involved_in_Crashes.csv")
#
# locations <- read_csv("C:/Users/ayang/Desktop/Project FIles REU A&T/REU Research Project1/Reported_Crash_Locations.csv")
#
# crashes <- persons %>% left_join(locations, by="key_crash")Exploratory Data Analysis
Frequency of Crashes by Vehicle Type
The highest frequency of crashes occur in a passenger car. However, this is not very surprising because passenger cars are relatively common. An interesting note is that sport utility vehicles have the second highest frequency of crashes, however, sport utility vehicles are not nearly as common of a car.
crashes %>%
filter(VehicleType != "Unknown", VehicleType != "") %>%
count(VehicleType) %>%
mutate(logtrans = round(log10(n), digits = 2),
VehicleType = reorder(VehicleType,logtrans)) %>%
ggplot(aes(x=VehicleType, y=logtrans, fill=VehicleType)) +
geom_bar(stat = "identity", show.legend = FALSE) +
coord_flip() +
geom_text(aes(label=logtrans),nudge_y=0.5) +
labs(title = "Frequency of Crashes by Vehicle Type",
x = "Vehicle Type",
y = "Count (log10 Scale)")
Frequency of Crashes by Weather Condition
The highest frequency of crashes occur when the weather conditions are clear. This is not very surprising because in North Carolina, the majority of the time the weather is clear. An interesting note is that snow still has a relatively high frequency despite it snowing minimally in North Carolina.
crashes %>%
filter(WeatherCondition1 != "NA") %>%
count(WeatherCondition1) %>%
mutate(logtrans = round(log10(n), digits = 2),
WeatherCondition1 = reorder(WeatherCondition1,logtrans)) %>%
ggplot(aes(x=WeatherCondition1, y=logtrans, fill=WeatherCondition1)) +
geom_bar(stat = "identity", show.legend = FALSE) +
coord_flip() +
geom_text(aes(label=logtrans),nudge_y=0.5) +
labs(title = "Frequency of Crashes by Weather Condition",
x = "Weather Condition",
y = "Count (log10 Scale)")
Frequency of Crashes by Weather Condition and if Weather Contributed to Crash
When looking at the weather conditions for only those crashesvwhere it was believed that weather was a contribution factor in the crash, we can see that rain jumps from third most frequent to first. This is not something unexpected because heavy rain conditions make driving much harder and can cause things such as hydroplaning to happen. Clear weather is now the second most common which is slightly surprising because clear weather is not typically associated with causing car crashes but since it is the most common weather type, we can better understand this conclusion. Although the order of which weather conditions are the most frequent when looking only at the crashes where the weather contributed, there is still the same number of weather types.
crashes %>%
filter(WeatherCondition1 != "NA", WeatherContributedToCrash == "Yes") %>%
count(WeatherCondition1) %>%
mutate(logtrans = round(log10(n), digits = 2),
WeatherCondition1 = reorder(WeatherCondition1,logtrans)) %>%
ggplot(aes(x=WeatherCondition1, y=logtrans, fill=WeatherCondition1)) +
geom_bar(stat = "identity", show.legend = FALSE) +
coord_flip() +
geom_text(aes(label=logtrans),nudge_y=0.5) +
labs(title =
"Frequency of Crashes by Weather Condition and if Weather Contributed to Crash",
x = "Weather Condition",
y = "Count (log10 Scale)")
Frequency of Crashes by Traffic Control Type
The highest frequency of crashes occur when there is no traffic control present. Without a control present, drivers may be less confident in their actions.
crashes %>%
filter(TrafficControlType != "NA", TrafficControlType != "",
TrafficControlType != "NaN") %>%
count(TrafficControlType) %>%
mutate(logtrans = round(log10(n), digits = 2),
TrafficControlType = reorder(TrafficControlType,logtrans)) %>%
ggplot(aes(x=TrafficControlType, y=logtrans, fill=TrafficControlType)) +
geom_bar(stat = "identity", show.legend = FALSE) +
coord_flip() +
geom_text(aes(label=logtrans),nudge_y=0.5) +
labs(title = "Frequency of Crashes by Traffic Control Type",
x = "Traffic Control Type",
y = "Count (log10 Scale)")
Frequency of crashes by road feature
The highest frequency of crashes occur when there is no special road feature present. Without a road feature present, drivers may be less confident in their actions.
crashes %>%
filter(RoadFeature != "NA", RoadFeature != "", RoadFeature != "NaN") %>%
count(RoadFeature) %>%
mutate(logtrans = round(log10(n), digits = 2),
RoadFeature = reorder(RoadFeature,logtrans)) %>%
ggplot(aes(x=RoadFeature, y=logtrans, fill=RoadFeature)) +
geom_bar(stat = "identity", show.legend = FALSE) +
coord_flip() +
geom_text(aes(label=logtrans),nudge_y=0.5) +
labs(title = "Frequency of Crashes by Road Feature",
x = "Road Feature",
y = "Count (log10 Sclae)")
Histogram for Drivers’ Ages
We were surprised to see that the ages of drivers had such a wide range with the maximum age of a driver being 120 years old.
crashes %>%
filter(PersonType == "Driver", Age != "NA", Age != "NaN", Age != "") %>%
ggplot() +
geom_histogram(aes(x=Age), binwidth = 5, col="red", fill="darkgrey") +
labs(title="Histogram for Drivers' Ages", x="Age", y="Frequency")
Frequency of Crashes by Alcohol Result Type (including Unknown and Pending results)
crashes %>%
filter(AlcoholResultType != "NA", AlcoholResultType != "",
AlcoholResultType != "NaN", AlcoholResultType != "Contaminated sample/unusable") %>%
count(AlcoholResultType) %>%
mutate(logtrans = round(log10(n), digits = 2),
AlcoholResultType = reorder(AlcoholResultType,logtrans)) %>%
ggplot(aes(x=AlcoholResultType, y=logtrans, fill=AlcoholResultType)) +
geom_bar(stat = "identity", show.legend = FALSE) +
coord_flip() +
geom_text(aes(label=logtrans),nudge_y=0.5) +
labs(title = "Frequency of Crashes by Alcohol Result Type",
x = "Alcohol Result Type",
y = "Count (log10 Scale)")
Frequency of Crashes by Alcohol Result Type and Crash Date DOW
crashes %>%
filter(AlcoholResultType != "NA", AlcoholResultType != "Unknown",
Crash_Date_DOW != "NA", Crash_Date_DOW != "NaN", Crash_Date_DOW != "") %>%
group_by(AlcoholResultType) %>%
ggplot(aes(fill=AlcoholResultType, x=Crash_Date_DOW)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Alcohol Result Type Frequency by Crash Date DOW",
x = "Crash Date DOW",
y = "Percentage")
Frequency of Crashes by Alcohol Result Type (excluding Unknown and Pending results)
crashes %>%
filter(AlcoholResultType != "NA", AlcoholResultType != "",
AlcoholResultType != "NaN", AlcoholResultType !=
"Contaminated sample/unusable", AlcoholResultType != "Pending",
AlcoholResultType != "Unknown") %>%
count(AlcoholResultType) %>%
mutate(logtrans = round(log10(n), digits = 2),
AlcoholResultType = reorder(AlcoholResultType,logtrans)) %>%
ggplot(aes(x=AlcoholResultType, y=logtrans, fill=AlcoholResultType)) +
geom_bar(stat = "identity", show.legend = FALSE) +
coord_flip() +
geom_text(aes(label=logtrans),nudge_y=0.5) +
labs(title = "Frequency of Crashes by Alcohol Result Type",
x = "Alcohol Result Type",
y = "Count (log10 Scale)")
Frequency of Crashes by Day of Week
crashes %>%
filter(Crash_Date_DOW != "NA") %>%
mutate(Crash_Date_DOW = factor(Crash_Date_DOW, levels = c("Sunday","Monday", "Tuesday", "Wednesday",
"Thursday", "Friday", "Saturday"))) %>%
ggplot() +
geom_bar(aes(Crash_Date_DOW, fill=Crash_Date_DOW), show.legend = FALSE) +
geom_text(stat="count", aes(x=Crash_Date_DOW, label=..count..), vjust=-0.25) +
labs(title = "Frequency of Crashes by Day of Week",
x = "Day of Week",
y = "Count")
Frequency of Crashes by Month
crashes %>%
filter(Crash_Date_Month != "NA") %>%
mutate(Crash_Date_Month = factor(Crash_Date_Month,
levels = c("January","February",
"March", "April",
"May", "June", "July",
"August", "September",
"October", "November",
"December"))) %>%
ggplot() +
geom_bar(aes(Crash_Date_Month, fill=Crash_Date_Month), show.legend = FALSE) +
geom_text(stat="count", aes(x=Crash_Date_Month, label=..count..), vjust=-0.25) +
theme(axis.text.x = element_text(angle = 90)) +
labs(title = "Frequency of Crashes by Month",
x = "Month",
y = "Count")
Frequency of Crashes by Hour
crashes %>%
filter(Crash_Date_Hour != "NA", Crash_Date_Hour != "") %>%
ggplot() +
geom_bar(aes(Crash_Date_Hour)) +
labs(title="Frequency of Crashes by Hour", x="Hour", y="Count")
Frequency of Crashes by Shift
crashes %>%
filter(Crash_Date_Hour != "NA", Crash_Date_Hour != "") %>%
mutate(shift = case_when(
Crash_Date_Hour >= 6 & Crash_Date_Hour < 14 ~ "6:00 a.m. - 1:59 p.m.",
Crash_Date_Hour >= 14 & Crash_Date_Hour < 22 ~ "2:00 p.m. - 9:59 p.m.",
TRUE ~ "10:00 p.m. - 5:59 a.m.")) %>%
mutate(shift = factor(shift, levels = c("6:00 a.m. - 1:59 p.m.",
"2:00 p.m. - 9:59 p.m.",
"10:00 p.m. - 5:59 a.m."))) %>%
ggplot() +
geom_bar(aes(x=shift, fill = shift), show.legend = F) +
labs(title="Frequency of Crashes by Shift", x="Shift", y="Count")
Frequency of Crashes by Drivers’ v. Passengers’ Age
The range of drivers’ ages is from about 16 to 100. The range of passengers’ ages is from about 0 to 100. The range of drivers’ ages is slightly larger due to the age restrictions for getting a license.
crashes %>%
filter(PersonType == "Driver" | PersonType == "Passenger", Age != "", Age != "NA") %>%
ggplot() +
geom_histogram(aes(x=Age), binwidth = 5, col="red", fill="darkgrey") +
labs(x="Age", y="Frequency", title="Drivers' vs. Passengers' Age") +
theme(legend.position = "top") +
facet_wrap(~PersonType, dir = "v")
Frequency of Crashes by Drivers’ v. Passengers’ Gender
There are slighlty more male drivers in Wake County getting in crashes than female drivers. Additionally, there are slightly more female passengers in Wake County car crashes than male passengers.
crashes %>%
filter(PersonType == "Driver" | PersonType == "Passenger",
Gender != "NA", Gender != "Unknown") %>%
ggplot() +
geom_bar(aes(x=Gender), col="red", fill="darkgrey") +
labs(x="Gender", y="Frequency", title="Drivers' vs. Passengers' Gender") +
theme(legend.position = "top") +
facet_wrap(~PersonType)
Frequency of Crashes by Vehicle Seizure
About half as many vehicles were seized compared to vehicles not seized.
crashes %>%
filter(VehicleSeizure != "NA") %>%
count(VehicleSeizure) %>%
mutate(logtrans = round(log10(n), digits = 2)) %>%
ggplot(aes(x=VehicleSeizure, y=logtrans, fill=VehicleSeizure)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
labs(title = "Frequency of Crashes by Vehicle Seizure",
x = "Vehicle Seizure",
y = "Count (log10 Scale)")
Frequency of Crashes by Airbag Deployed
The highest frequency of crashes occured where the airbags were not deployed. It is interesting to note that the second highest frequency of crashes occured where the car(s) did not have airbags to begin with. Airbags did not deploy during most crashes, therefore many accidents logged were minor.
crashes %>%
filter(AirbagDeployed != "NA", AirbagDeployed != "Unknown") %>%
count(AirbagDeployed) %>%
mutate(logtrans = round(log10(n), digits = 2),
AirbagDeployed = reorder(AirbagDeployed,logtrans)) %>%
ggplot(aes(x=AirbagDeployed, y=logtrans, fill=AirbagDeployed)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Airbag Deployed",
x = "Airbag Deployed",
y = "Count (log10 Scale)")
Frequency of Crashes by Ejection
Most car crashes resulted in drivers and passengers not being ejected. More people were totally ejected from the vehicle than partially ejected.
crashes %>%
filter(Ejection != "NA", Ejection != "Unknown") %>%
count(Ejection) %>%
mutate(logtrans = round(log10(n), digits = 2),
Ejection = reorder(Ejection,logtrans)) %>%
ggplot(aes(x=Ejection, y=logtrans, fill=Ejection)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Ejection",
x = "Ejection",
y = "Count (log10 Scale)")
Frequency of Crashes by Gender
About 3 more percent of people that get in crashes are men than women.
crashes %>%
filter(Gender != "NA", Gender != "Unknown", Gender != "") %>%
count(Gender) %>%
mutate(Percent = round(n/sum(n)*100,2),
Gender = reorder(Gender,Percent)) %>%
ggplot(aes(x=Gender, y=Percent, fill=Gender)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label= Percent),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Gender",
x = "Gender",
y = "Percent")
Frequency of Crashes by Race
According to census.gov…
In the United States, 76.3 % of people are White, 13.4% of people are Black or African American, 18.5% are Hispanic or Latina, 0.2 are Native Hawaiian and Other Pacific Islander, 2.8% are two or more races, 5.9% are Asian, 1.3% are American Indian and Alaska Native, .
In North Carolina, 70.6 % of people are White, 22.2% of people are Black or African American, 9.8% are Hispanic or Latina, 0.1 are Native Hawaiian and Other Pacific Islander, 2.3% are two or more races, 3.2% are Asian, and 1.6% are American Indian and Alaska Native.
In Wake County, North Carolina, 67.9 % of people are White, 21.0% of people are Black or African American, 10.4% are Hispanic or Latina, 0.1% are Native Hawaiian and Other Pacific Islander, 2.6% are two or more races, 7.7% are Asian, and 0.8% are American Indian and Alaska Native.
This is interesting because, despite the percentage of Black people being less than a third of the percentage of White people, the percentage of Black people in car crashes is not far behind the percentage of White people in car crashes.
crashes %>%
filter(Race != "NA", Race != "Unknown", Race != "") %>%
count(Race) %>%
mutate(Percent = round(n/sum(n)*100,2),
Race = reorder(Race,Percent)) %>%
ggplot(aes(x=Race, y=Percent, fill=Race)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Percent), nudge_y = 0.05) +
coord_flip() +
labs(title = "Frequency of Crashes by Race",
x = "Race",
y = "Percent")
Frequency of Crashes by Injury
The highest frequency of crashes did not result in any injury. Following the highest frequency, the more serious the injury, the less crashes occured.
crashes %>%
filter(Injury != "NA", Injury != "Unknown") %>%
count(Injury) %>%
mutate(Percent = round(n/sum(n)*100, digits = 2),
Injury = reorder(Injury,Percent)) %>%
ggplot(aes(x=Injury, y=Percent, fill=Injury)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Percent),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Injury",
x = "Injury",
y = "Percent")
Frequency of Injuries by Contributing Circumstance
crashes %>%
filter(Injury != "NA", Injury != "Unknown", ContributingCircumstance1 != "NA",
ContributingCircumstance1 != "NaN",
ContributingCircumstance1 != "Unable to determine",
ContributingCircumstance1 != "Unknown") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=ContributingCircumstance1)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Contributing Circumstance",
x = "Contributing Circumstance",
y = "Percentage") +
scale_x_discrete(labels = c("Alcohol use",
"Going wrong way",
"Disregarded other traffic signs",
"Disregarded road markings",
"Disregarded stop sign",
"Disregarded traffic signals",
"Disregarded yield sign",
"Driver distracted",
"Driver distracted by communication device",
"Driver distracted by external distraction",
"Driver distracted by electronic",
"Driver distracted by passenger",
"Drug use",
"Exceeded speed limit",
"Exceeded safe speed",
"Failed to yield",
"Failure to reduce speed",
"Followed too closely",
"Improper backing",
"Improper lane change",
"Improper or no signal",
"Improper parking",
"Improper turn",
"Inattention",
"No contributing circumstance",
"Operated defective equipment",
"Erratic, reckless, negligent",
"Other improper passing",
"Other*",
"Overcorrected/oversteered",
"Passed on curve",
"Passed on hill",
"Passed stopped school bus",
"Right turn on red",
"Swerved or avoided",
"Use of improper lane",
"Visibility obstructed"))
Frequency of Injuries by Person Type
Pedestrians are most likely to die, followed by pedalcyclists most likely due to lack of protection and high exposure to the environment. Driver’s are slightly less likely to be injured than passengers.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", PersonType != "NA",
PersonType != "NaN", PersonType != "Unknown") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=PersonType)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Person Type",
x = "Person Type",
y = "Percentage")
Frequency of Injury by Ejection
Total ejection leads to the most deaths and injuries, followed by partial ejection, and not being ejection leads to the least amount of injury. Ejection most likely leads to more severe injuries due to the car crash being significant enough to lead to ejection as well the injuries that occur from being ejected as well.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", Ejection != "NA",
Ejection != "NaN", Ejection != "Unknown") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=Ejection)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Ejection",
x = "Ejection",
y = "Percentage")
Frequency of Injury by Road Feature
Driveways tend to lead to the least amount of injuries probably due to the slow speed that people are going when in driveways.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", RoadFeature != "NA",
RoadFeature != "NaN", RoadFeature != "") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=RoadFeature)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Road Feature",
x = "Road Feature",
y = "Percentage")
Frequency of Injury by Road Classification
Public vehicular areas and private roads/driveways lead to the least amount of injuries. This may be because these areas are minimally trafficked and are usually at slower speeds than other roads.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", RoadClassification != "NA",
RoadClassification != "NaN", RoadClassification != "") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=RoadClassification)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Road Classification",
x = "Road Classification",
y = "Percentage")
Frequency of Injury by Weather Condition
Rain and sleet, hail, freezing rain/drizzle leads to the most disabling type injuries.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", WeatherCondition1 != "NA",
WeatherCondition1 != "NaN") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=WeatherCondition1)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Weather Condition",
x = "Weather Condition",
y = "Percentage")
Frequency of Rain and Statistical Analyses
crashes_rain = crashes %>%
filter(WeatherCondition1 != "Unknown",
WeatherCondition1 != "NA",
WeatherCondition1 != "") %>%
mutate(WeatherCondition1 = case_when(
WeatherCondition1 == "Rain" ~ "Rain",
TRUE ~ "Not Rain")) %>%
group_by(key_crash,WeatherCondition1) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'key_crash'. You can override using the `.groups` argument.crashes_rain <- mutate(crashes_rain,
rain = WeatherCondition1 == "Rain")
t.test(x=crashes_rain$rain)##
## One Sample t-test
##
## data: crashes_rain$rain
## t = 130.39, df = 151584, p-value < 2.2e-16
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
## 0.09933835 0.10237026
## sample estimates:
## mean of x
## 0.1008543crashes_rain %>%
ggplot(aes(fill=WeatherCondition1, x=WeatherCondition1)) +
geom_bar(show.legend = FALSE) +
geom_text(stat="count", aes(x=WeatherCondition1, label=..count..), vjust=-0.25)
Frequency of Injury by Alcohol Result Type
The most people are killed when there are no alcohol or other drugs. This is slightly surprising, however, it may be because when people are driving with drugs or alcohol in their system, they may attempt to be more cautious so that they do not get pulled over by police.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", AlcoholResultType != "NA",
AlcoholResultType != "NaN", AlcoholResultType != "Unknown",
AlcoholResultType != "Contaminated sample/unusable",
AlcoholResultType != "Pending") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=AlcoholResultType)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Alcohol Result Type",
x = "Alcohol Result Type",
y = "Percentage")
Frequency of Injury by Traffic Control Type
Places where warning signs are post led to the post injuries including people killed. This may be because the signs are not taken as seriously and are less common to see, therefore, more people may disregard the warnings. Not many injuries occur near Railroad crossings.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", TrafficControlType != "NA",
TrafficControlType != "NaN") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=TrafficControlType)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Traffic Control Type",
x = "Traffic Control Type",
y = "Percentage")
Frequency of Injury by Vehicle Type
Pedestrian were the most killed, followed by motorcycles and motor scooters. This makes sense because these people are more exposed to conditions as well as generally having less protection than people in enclosed vehicles. Large vehicles like buses, trucks, and military vehicles, had the leaast amount of injuries most likely due to their large size.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", VehicleType != "NA",
VehicleType != "NaN", VehicleType != "Unknown", VehicleType != "") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=VehicleType)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Vehicle Type",
x = "Vehicle Type",
y = "Percentage")
Frequency of Injury by Protection
The most injuries occurred when people were using reflective clothing, lighting, and a helmet as protection. This makes sense because people using this would most likely be pedestrians or bikers, both of which are more exposed to danger and to having more significant injuries. Shoulder belts, lap belts, and the combination between the two appear to help decrease the amount of injuries that occur.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", Protection != "NA",
Protection != "NaN", Protection != "Unable to determine") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=Protection)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Protection",
x = "Protection",
y = "Percentage")
Frequency of Injury by Vision Obstruction
Signs and embankment led to the most people being killed. This may be because these are both stationary opaque objects that will continuously block people’s views of the road and conditions. Also being blinded by other lights led to the most disabling injuries.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", VisionObstruction != "NA",
VisionObstruction != "NaN") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=VisionObstruction)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequncy by Vision Obstruction",
x = "Vision Obstruction",
y = "Percentage")
Frequency of Injury by Airbag Deployed
When airbags were not deployed, there was a smaller amount of injuries. This may be because the crashes were not significant enough to cause the airbags to deploy, therefore, if the crash is not significant enough to cause airbags to deploy, the people in the crash were less likely to be harmed. When there were no airbags, there was not many injuries. This may be because cars without airbags tend to be older cars which may mean they cannot go fast enough to lead to an extremely dangerous car crash. When both front and side airbags deploy, there are a significant amount of injuries including disabling injuries. This may be due to the crash being bad enough to deploy the airbags, therefore, if the crash is bad enough, the people are more likely to be injured.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", AirbagDeployed != "NA",
AirbagDeployed != "NaN", AirbagDeployed != "Unknown") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=AirbagDeployed)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequncy by Airbag Deployed",
x = "Airbag Deployed",
y = "Percentage")
Frequency of Injury by First Harmful Event
The first harmful event that led to the second most people killed and disabling injuries was with pedestrians. This would make sense because pedestrians often do not have protection from cars. Overturn/rollover harmful events had the most amount of injuries. Backing up had the least amount of injuries which would make sense because when backing a car up, people tend to be going a slower speed than if they were accelerating forward.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", FirstHarmfulEvent != "NA",
FirstHarmfulEvent != "NaN", FirstHarmfulEvent != "Unknown") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=FirstHarmfulEvent)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by First Harmful Event",
x = "First Harmful Event",
y = "Percentage")
Frequency of Injury by Most Harmful Event
The most harmful event that led to most people killed and disabling injuries was with pedestrians. This would make sense because pedestrians often do not have protection from cars. Overturn/rollover harmful events also had a significant amount of injuries. Backing up had the least amount of injuries which would make sense because when backing a car up, people tend to be going a slower speed than if they were accelerating forward.
crashes %>%
filter(Injury != "NA", Injury != "Unknown", MostHarmfulEvent != "NA",
MostHarmfulEvent != "NaN", MostHarmfulEvent != "Unknown") %>%
group_by(Injury) %>%
ggplot(aes(fill=Injury, x=MostHarmfulEvent)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Most Harmful Event",
x = "Most Harmful Event",
y = "Percentage")
Frequency of Injury by Driver Age
# Comparing Injury to Driver Age
crashes %>%
filter(Injury != "NA", Injury != "Unknown", Injury != "", PersonType == "Driver", Age != "NA",
Age != "", Age != "Unknown", Age >= 5) %>%
group_by(Injury) %>%
mutate(shift = case_when(
Age >= 5 & Age < 15 ~ "5-14",
Age >= 15 & Age < 25 ~ "15-24",
Age >= 25 & Age < 35 ~ "25-34",
Age >= 35 & Age < 45 ~ "35-44",
Age >= 45 & Age < 55 ~ "45-54",
Age >= 55 & Age < 65 ~ "55-64",
Age >= 65 & Age < 75 ~ "65-74",
Age >= 75 & Age < 85 ~ "75-84",
Age >= 85 & Age < 95 ~ "85-94",
Age >= 95 & Age < 105 ~ "95-104",
Age >= 105 & Age < 115 ~ "105-114",
TRUE ~ "115-124")) %>%
ggplot(aes(fill=Injury, x=shift)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Driver Age",
x = "Age",
y = "Percentage")
Frequency of Driver Age
crashes %>%
filter(PersonType == "Driver", Age != "NA",
Age != "", Age != "Unknown", Age >= 5) %>%
mutate(age = case_when(
Age >= 5 & Age < 15 ~ "5-14",
Age >= 15 & Age < 25 ~ "15-24",
Age >= 25 & Age < 35 ~ "25-34",
Age >= 35 & Age < 45 ~ "35-44",
Age >= 45 & Age < 55 ~ "45-54",
Age >= 55 & Age < 65 ~ "55-64",
Age >= 65 & Age < 75 ~ "65-74",
Age >= 75 & Age < 85 ~ "75-84",
Age >= 85 & Age < 95 ~ "85-94",
Age >= 95 & Age < 105 ~ "95-104",
Age >= 105 & Age < 115 ~ "105-114",
TRUE ~ "115-124")) %>%
mutate(age = factor(age, levels = c("5-14", "15-24", "25-34", "35-44", "45-54",
"55-64", "65-74", "75-84", "85-94",
"95-104", "105-114", "115-124"))) %>%
ggplot(aes(fill=age, x=age)) +
geom_bar(show.legend = FALSE) +
labs(title = "Frequency of Driver Age",
x = "Age",
y = "Count") +
theme(axis.text.x = element_text(angle = 90))
Frequncy of Injury by Passenger Age
crashes %>%
filter(Injury != "NA", Injury != "Unknown", Injury != "", PersonType == "Passenger", Age != "NA",
Age != "", Age != "Unknown") %>%
group_by(Injury) %>%
mutate(shift = case_when(
Age >= 0 & Age < 10 ~ "0-9",
Age >= 10 & Age < 20 ~ "10-19",
Age >= 20 & Age < 30 ~ "20-29",
Age >= 30 & Age < 40 ~ "30-39",
Age >= 40 & Age < 50 ~ "40-49",
Age >= 50 & Age < 60 ~ "50-59",
Age >= 60 & Age < 70 ~ "60-69",
Age >= 70 & Age < 80 ~ "70-79",
Age >= 80 & Age < 90 ~ "80-89",
Age >= 90 & Age < 100 ~ "90-99",
Age >= 100 & Age < 110 ~ "100-109",
Age >= 110 & Age < 120 ~ "110-119",
TRUE ~ "120-129")) %>%
ggplot(aes(fill=Injury, x=shift)) +
geom_bar(position="fill", stat="count") +
coord_flip() +
labs(title = "Injury Frequency by Passenger Age",
x = "Age",
y = "Percentage")
Frequency of Passenger Age
crashes %>%
filter(PersonType == "Passenger", Age != "NA",
Age != "", Age != "Unknown") %>%
mutate(age = case_when(
Age >= 0 & Age < 10 ~ "0-9",
Age >= 10 & Age < 20 ~ "10-19",
Age >= 20 & Age < 30 ~ "20-29",
Age >= 30 & Age < 40 ~ "30-39",
Age >= 40 & Age < 50 ~ "40-49",
Age >= 50 & Age < 60 ~ "50-59",
Age >= 60 & Age < 70 ~ "60-69",
Age >= 70 & Age < 80 ~ "70-79",
Age >= 80 & Age < 90 ~ "80-89",
Age >= 90 & Age < 100 ~ "90-99",
Age >= 100 & Age < 110 ~ "100-109",
Age >= 110 & Age < 120 ~ "110-119",
TRUE ~ "120-129")) %>%
mutate(age = factor(age, levels = c("0-9", "10-19", "20-29", "30-39", "40-49",
"50-59", "60-69", "70-79", "80-89",
"90-99", "100-109", "110-119",
"120-129"))) %>%
ggplot(aes(fill=age, x=age)) +
geom_bar(show.legend = FALSE) +
labs(title = "Frequency of Passenger Age",
x = "Age",
y = "Percentage") +
theme(axis.text.x = element_text(angle = 90))
Frequency of Crashes by Protection
The highest frequency of crashes occured when drivers and passengers wore a shoulder and lap belt protection which are common protections in more recent vehicles. However, the second highest frequency of crashes occured when drivers and passengers had used no protection. Could this be because the vehicles they were driving didn’t provide protection or that the vehicles had protection, the people just chose not to use any.
crashes %>%
filter(Protection != "NA", Protection != "Unable to determine") %>%
count(Protection) %>%
mutate(logtrans = round(log10(n), digits = 2),
Protection = reorder(Protection,logtrans)) %>%
ggplot(aes(x=Protection, y=logtrans, fill=Protection)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Protection",
x = "Protection",
y = "Count (log10 Scale)")
Frequency of Crashes by Trapped
More crashes resulted in people in the vehicle not being trapped than people in the vehicle being trapped.
crashes %>%
filter(Trapped != "NA", Trapped != "Unknown") %>%
count(Trapped) %>%
mutate(logtrans = round(log10(n), digits = 2),
Trapped = reorder(Trapped,logtrans)) %>%
ggplot(aes(x=Trapped, y=logtrans, fill=Trapped)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Trapped",
x = "Trapped",
y = "Count (log10 Scale)")
Frequency of Crashes by Vision Obstruction
The highest frequency of crashes occured when there was was no vision obstruction. It is interesting to note, that “Blinded, sunlight” led to a significant amount of crashes. When looking at the variable Weather Condition, most of the time the Weather Condition was clear. The weather was clear, however, this may have led to the sun being brighter and more likely to cause a car crash due to vision obstruction.
crashes %>%
filter(VisionObstruction != "NA", VisionObstruction != "Unknown") %>%
count(VisionObstruction) %>%
mutate(logtrans = round(log10(n), digits = 2),
VisionObstruction = reorder(VisionObstruction,logtrans)) %>%
ggplot(aes(x=VisionObstruction, y=logtrans, fill=VisionObstruction)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Vision Obstruction",
x = "Vision Obstruction",
y = "Count (log10 Scale)")
Frequency of Crashes by Contributing Circumstance 1
The highest frequency of crashes had no contributing circumstances indicated.
crashes %>%
filter(ContributingCircumstance1 != "NA", ContributingCircumstance1 != "Unknown",
ContributingCircumstance1 != "Unable to determine") %>%
count(ContributingCircumstance1) %>%
mutate(logtrans = round(log10(n), digits = 2),
ContributingCircumstance1 = reorder(ContributingCircumstance1,logtrans)) %>%
ggplot(aes(x=ContributingCircumstance1, y=logtrans, fill=ContributingCircumstance1)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Contributing Circumstance 1",
x = "Contributing Circumstance 1",
y = "Count (log10 Scale)") +
scale_x_discrete(labels = c("Passed on hill",
"Passed on curve",
"Passed stopped school bus",
"Driver distracted by electronic",
"Improper or no signal",
"Driver distracted by external distraction",
"Right turn on red",
"Drug use",
"Disregarded yield sign",
"Driver distracted by communication device",
"Driver distracted by passenger",
"Visibility obstructed",
"Disregarded other traffic signs",
"Driver distracted",
"Disregarded road markings",
"Operated defective equipment",
"Exceeded speed limit",
"Disregarded stop sign",
"Going wrong way",
"Use of improper lane",
"Alcohol use",
"Other improper passing",
"Followed too closely",
"Swerved or avoided",
"Overcorrected/oversteered",
"Erratic, reckless, negligent",
"Other*",
"Disregarded traffic signals",
"Exceeded safe speed",
"Improper parking",
"Improper turn",
"Improper lane change",
"Improper backing",
"Failed to yield",
"Inattention",
"Failure to reduce speed",
"No contributing circumstance"))
Frequency of Crashes by Contributing Circumstance 2
The highest frequency of crashes had inattention as a contributing circumstance 2.
crashes %>%
filter(ContributingCircumstance2 != "NA",
ContributingCircumstance2 != "Unknown",
ContributingCircumstance2 != "Unable to determine") %>%
count(ContributingCircumstance2) %>%
mutate(logtrans = round(log10(n), digits = 2),
ContributingCircumstance2 = reorder(ContributingCircumstance2,
logtrans)) %>%
ggplot(aes(x=ContributingCircumstance2, y=logtrans,
fill=ContributingCircumstance2)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Contributing Circumstance 2",
x = "Contributing Circumstance 2",
y = "Count (log10 Scale)") +
scale_x_discrete(labels = c("Passed on curve",
"Passed on hill",
"Passed stopped school bus",
"Disregarded yield sign",
"Improper or no signal",
"Right turn on red",
"Disregarded other traffic signs",
"Disregarded stop sign",
"Driver distracted by external distraction",
"Driver distracted by electronic",
"Disregarded road markings",
"Drug use",
"Visibility obstructed",
"Swerved or avoided",
"Other improper passing",
"Exceeded speed limit",
"Use of improper lane",
"Driver distracted by communication device",
"Driver distracted by passenger",
"Operated defective equipment",
"Improper parking",
"No contributing circumstance",
"Disregarded traffic signals",
"Other*",
"Driver distracted",
"Going wrong way",
"Exceeded safe speed",
"Followed too closely",
"Overcorrected/oversteered",
"Improper turn",
"Alcohol use",
"Improper lane change",
"Erratic, reckless, negligent",
"Improper backing",
"Failed to yield",
"Failure to reduce speed",
"Inattention"))
Frequency of Crashes by Contributing Circumstance 3
The higest frequency of crashes had inattention as a contributing circumstance 3.
crashes %>%
filter(ContributingCircumstance3 != "NA",
ContributingCircumstance3 != "Unknown",
ContributingCircumstance3 != "Unable to determine") %>%
count(ContributingCircumstance3) %>%
mutate(logtrans = round(log10(n), digits = 2),
ContributingCircumstance3 =
reorder(ContributingCircumstance3,logtrans)) %>%
ggplot(aes(x=ContributingCircumstance3, y=logtrans,
fill=ContributingCircumstance3)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Frequency of Crashes by Contributing Circumstance 3",
x = "Contributing Circumstance 3",
y = "Count (log10 Scale)") +
scale_x_discrete(labels = c("Passed on hill",
"Right turn on red",
"Passed on curve",
"Disregarded yield sign",
"Improper or no signal",
"Disregarded other traffic signs",
"Disregarded stop sign",
"Improper parking",
"No contributing circumstance",
"Disregarded road markings",
"Visibility obstructed",
"Driver distracted by electronic",
"Swerved or avoided",
"Exceeded speed limit",
"Driver distracted by external distraction",
"Operated defective equipment",
"Other improper passing",
"Use of improper lane",
"Disregarded traffic signals",
"Exceeded safe speed",
"Improper backing",
"Driver distracted by communication device",
"Going wrong way",
"Driver distracted by passenger",
"Other*",
"Improper lane change",
"Drug use",
"Improper turn",
"Overcorrected/oversteered",
"Driver distracted",
"Followed too closely",
"Failure to reduce speed",
"Failed to yield",
"Alcohol use",
"Erratic, reckless, negligent",
"Inattention"))
Frequency of Crashes by Location Relation to Road
Most of the crashes on the roadway. This means it includes accidents on highways, streets, and where there is a lot of traffic.
crashes %>%
filter(LocationRelationToRoad != "NA", LocationRelationToRoad != "Unknown") %>%
count(LocationRelationToRoad) %>%
mutate(logtrans = round(log10(n), digits = 2),
LocationRelationToRoad = reorder(LocationRelationToRoad,logtrans)) %>%
ggplot(aes(x=LocationRelationToRoad, y=logtrans, fill=LocationRelationToRoad)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Location of Crash in Relation to Road",
x = "Location Relation to Road",
y = "Count (log10 Scale)")
Frequency of Crashes by Location In Near Indicator
crashes %>%
filter(LocationInNearIndicator != "NA", LocationInNearIndicator != "Unknown") %>%
count(LocationInNearIndicator) %>%
mutate(logtrans = round(log10(n), digits = 2),
LocationInNearIndicator = reorder(LocationInNearIndicator,logtrans)) %>%
ggplot(aes(x=LocationInNearIndicator, y=logtrans, fill=LocationInNearIndicator)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Crashes Near Indicator",
x = "Location in Near Indicator",
y = "Count (log10 Scale)")
Frequency of Crashes by Location Ramp Indicator
crashes %>%
filter(LocationRampIndicator != "NA", LocationRampIndicator != "Unknown") %>%
count(LocationRampIndicator) %>%
mutate(logtrans = round(log10(n), digits = 2),
LocationRampIndicator = reorder(LocationRampIndicator,logtrans)) %>%
ggplot(aes(x=LocationRampIndicator, y=logtrans, fill=LocationRampIndicator)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Crash Location from Ramp",
x = "Location Ramp Indicator",
y = "Count (log10 Scale)")
Histogram of Crash Location Feet From Road
The data for the location of crashes from a road shows that most crashes happen at most popular roadways. These roadways tend to be the busiest roads.
crashes %>%
filter(LocationFeetFromRoad != "NA", LocationFeetFromRoad != "Unknown",
LocationFeetFromRoad != "") %>%
ggplot() +
geom_histogram(aes(x=LocationFeetFromRoad), binwidth = 100, col="red", fill="darkgrey") +
labs(title="Histogram for Location Feet From Road")
Frequency of Crashes by Location Direction From Road
Most direction of crashes were North, South, East, and West. This shows that there is no specific direction where crashes were most common. This data implies that there is the same amount of crashes in every direction of the road.
crashes %>%
filter(LocationDirectionFromRoad != "NA", LocationDirectionFromRoad != "Unknown",
LocationDirectionFromRoad != "") %>%
count(LocationDirectionFromRoad) %>%
mutate(logtrans = round(log10(n), digits = 2),
LocationDirectionFromRoad= reorder(LocationDirectionFromRoad,logtrans)) %>%
ggplot(aes(x=LocationDirectionFromRoad, y=logtrans, fill=LocationDirectionFromRoad)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Direction of Crash",
x = "Location Direction From Road",
y = "Count (log10 Scale)")
Frequency of Crashes by Location From Indicator
More crashes tend to occur from and indicator then from the indicator. This means that most common crashes are known to happen near busy streets/roads.
crashes %>%
filter(LocationAtFromIndicator != "NA", LocationAtFromIndicator != "Unknown") %>%
count(LocationAtFromIndicator) %>%
mutate(logtrans = round(log10(n), digits = 2),
LocationAtFromIndicator= reorder(LocationAtFromIndicator,logtrans)) %>%
ggplot(aes(x=LocationAtFromIndicator, y=logtrans, fill=LocationAtFromIndicator)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Indicator Crash Location",
x = "Location At/From Indicator",
y = "Count (log10 Scale)")
Frequency of Crashes by Location Direction to Road
When it comes to the location direction of the crash to the road the data is like location direction of crashes from road. Most crashes happen North, South, East, and West.
crashes %>%
filter(LocationDirectionToRoad != "NA", LocationDirectionToRoad != "Unknown") %>%
count(LocationDirectionToRoad) %>%
mutate(logtrans = round(log10(n), digits = 2),
LocationDirectionToRoad= reorder(LocationDirectionToRoad,logtrans)) %>%
ggplot(aes(x=LocationDirectionToRoad, y=logtrans, fill=LocationDirectionToRoad)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Direction of Crash From Road",
x = "Location Direction To Road",
y = "Count (log10 Scale)")
Frequency of Crashes by First Harmful Event
The data shows us that the (First Harmful Crash Event) is from a rear end, slow or stop. This implies that some drivers might be driving under the speed limit or not paying attention to what is in front of them on the road.
crashes %>%
filter(FirstHarmfulEvent != "NA", FirstHarmfulEvent != "Unknown") %>%
count(FirstHarmfulEvent) %>%
mutate(logtrans = round(log10(n), digits = 2),
FirstHarmfulEvent= reorder(FirstHarmfulEvent,logtrans)) %>%
ggplot(aes(x=FirstHarmfulEvent, y=logtrans, fill=FirstHarmfulEvent)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "First Harmful Crash Event ",
x = "First Harmful Event",
y = "Count (log10 Scale)")
Frequency of Crashes by Most Harmful Event
The most harmful event is also a rear end, slow or stop accident just like the fist harmful event. Side swiped accidents and hitting parked vehicles are also pretty common accidents. This informs us that drivers are not paying attention to the road and are being distracted.
crashes %>%
filter(MostHarmfulEvent != "NA", MostHarmfulEvent != "Unknown") %>%
count(MostHarmfulEvent) %>%
mutate(logtrans = round(log10(n), digits = 2),
MostHarmfulEvent= reorder(MostHarmfulEvent,logtrans)) %>%
ggplot(aes(x=MostHarmfulEvent, y=logtrans, fill=MostHarmfulEvent)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Most Harmful Crash Event ",
x = "Most Harmful Event",
y = "Count (log10 Scale)")
Frequency of Crashes by Road Classification
Local streets are the most common places where there are accidents. This is because local streets tend to be busy. There is usually traffic in both directions. There are also many people walking around. This causes the driver to get distracted easily.
crashes %>%
filter(RoadClassification != "NA", RoadClassification != "Unknown",
RoadClassification != "") %>%
count(RoadClassification) %>%
mutate(logtrans = round(log10(n), digits = 2),
RoadClassification= reorder(RoadClassification,logtrans)) %>%
ggplot(aes(x=RoadClassification, y=logtrans, fill=RoadClassification)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=logtrans),nudge_y=0.2) +
coord_flip() +
labs(title = "Classification of the Road ",
x = "Road Classification",
y = "Count (log10 Scale)")
Frequency of Crashes by Crash Date Year
We included a horizontal dashed line to indicate where the yearly average lies and we can see that only the years 202 and 2021 fall below this yearly average. The year with the most crashes in 2019 but not by many. The full year with the fewest crashes in 2020 which was to be expected due to the lockdowns that took place to try and mitigate the spread of Covid-19. 2021 also looks to be on track to be another low crash year but we do not have a perfect explanation for that seeing as things are beginning to open and “return to normal” again.
crashes %>%
filter(Crash_Date_Year != "Unknown", Crash_Date_Year != "2011") %>%
ggplot(aes(Crash_Date_Year, fill=as.factor(Crash_Date_Year))) +
geom_bar(show.legend = FALSE) +
geom_text(stat="count", aes(x=Crash_Date_Year, label=..count..), vjust=-0.25) +
geom_abline(intercept = 387995/(77/12), slope = 0, lty="dashed") +
scale_x_continuous(breaks=2015:2021) +
labs(title = "Frequency of Crashes by Year",
x = "Year",
y = "Count")
Number of Drivers per Crash
This bar plot represents how many drivers were involved in each crash. We can see that the majority of crashes involved 2 drivers, which was to be expected since two car accidents seem to be the most common. In a distant second was 1 driver crashes, which again made sense because this encompasses most of the other kinds of crashes that are most common. The rest of the crashes had a decreasing number of drivers involved in crashes as the number of drivers ranged from 3 to 18.
crashes %>%
filter(PersonType == "Driver") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(Drivers = n, Frequency = nn) %>%
mutate(Drivers = reorder(Drivers, Frequency)) %>%
ggplot(aes(x=Drivers, y=Frequency, fill=Drivers)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y=0.1) +
coord_flip() +
labs(title = "Number of Drivers per Crash",
x = "Number of Drivers",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Passengers per Crash
This data involved a much larger range of numbers than drivers involved per crash. However, despite this fact, we can still follow a pretty regular decreasing trend with the majority of crashes involved 1 passenger which trickles all the way to a crash involving a maximum of 88 passengers.
crashes %>%
filter(PersonType == "Passenger") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(Passengers = n, Frequency = nn) %>%
mutate(Passengers = reorder(Passengers,Frequency)) %>%
ggplot(aes(x=Passengers, y=Frequency, fill=Passengers)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y=0.5) +
coord_flip() +
labs(title = "Number of Passengers per Crash",
x = "Number of Passengers",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Pedestrians per Crash
There is little variety in the number of pedestrians involved in crashes. When pedestrians were involved, there was a majority of it only being 1 with a distant second and third being 2 and 3 pedestrians.
crashes %>%
filter(PersonType == "Pedestrian") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(Pedestrians = n, Frequency = nn) %>%
mutate(Pedestrians = reorder(Pedestrians,Frequency)) %>%
ggplot(aes(x=Pedestrians, y=Frequency, fill=Pedestrians)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y=0.5) +
coord_flip() +
labs(title = "Number of Pedestrians per Crash",
x = "Number of Pedestrians",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Pedalcyclists per Crash
Similar to the number of pedestrians involved in crashes, the number of pedalcyclists involved in crashes has little variety and is very low. Compared to the total amount of data we are working with, very few crashes involve pedalcyclists anf if they do, it is only 1 with a singular exception for a crash involving 2.
crashes %>%
filter(PersonType == "Pedalcyclist") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(Pedalcyclists = n, Frequency = nn) %>%
mutate(Pedalcyclists = reorder(Pedalcyclists,Frequency)) %>%
ggplot(aes(x=Pedalcyclists, y=Frequency, fill=Pedalcyclists)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y=0.5) +
coord_flip() +
labs(title = "Number of Pedalcyclists per Crash",
x = "Number of Pedalcyclists",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Other People per Crash
Although there is more variety than both number of pedestriand and pedalcyclists involved per crash, there is still a very small proportion of other people that are involved in crashes. This category encompasses those who do not fit into the categories of driver, passenger, pedestiran, or pedalcyclist. There is a majority of 1 other person being involved with a decreasing amount as it goes up to a maximum of 5 other people involved.
crashes %>%
filter(PersonType == "Other*") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(Other = n, Frequency = nn) %>%
mutate(Other = reorder(Other,Frequency)) %>%
ggplot(aes(x=Other, y=Frequency, fill=Other)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y=0.5) +
coord_flip() +
labs(title = "Number of Others per Crash",
x = "Number of Others",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Unknown People per Crash
This data is likely not going to be useful to any of our analyses because it is fairly likely that the number of unknown people involved in crashes is much higher than it realistically was due to poor data entry. This plot included many more observations than pedestrians, pedalcyclists, and others combined with a majority of crashes involving only 1 unknown person and a few involving 2.
crashes %>%
filter(PersonType == "Unknown") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(Unknown = n, Frequency = nn) %>%
mutate(Unknown = reorder(Unknown,Frequency)) %>%
ggplot(aes(x=Unknown, y=Frequency, fill=Unknown)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y=0.5) +
coord_flip() +
labs(title = "Number of Unknown per Crash",
x = "Number of Unknown",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of People Killed per Crash
Fortunately, the number of people killed in crashes was low. Therefore, we only have a small distribution of number of people killed per crash ranging from 1 to three with one being the majority and taking a large jump to 2 and 3 killed per crash.
crashes %>%
filter(Injury == "Killed") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(Killed = n, Frequency = nn) %>%
mutate(Killed = reorder(Killed, Frequency)) %>%
ggplot(aes(x=Killed, y=Frequency, fill=Killed)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y = 0.5) +
coord_flip() +
labs(title = "Number Killed per Crash",
x = "Number Killed",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Type A Injuries per Crash
There were many more Type A injuries than people killed which represent all of the disabling injuries. Once again, we can see a trend of decreasing number of type A injuries per crash as the number of those injuries increases with the majority if type A injuries per crash is one and the fewest was 5 type A injuries per crash with a frequency of only 1.
crashes %>%
filter(Injury == "A type injury (disabling)") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(TypeA = n, Frequency = nn) %>%
mutate(TypeA = reorder(TypeA, Frequency)) %>%
ggplot(aes(x=TypeA, y=Frequency, fill=TypeA)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y = 0.5) +
coord_flip() +
labs(title = "Number of Type A Injuries per Crash",
x = "Number of Type A Injuries",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Type B Injuries per Crash
Type B injuries represent all of the injuries that occurred that were evident. We can see a higher variety in the number of these type of injuries per crash as well as more of them total. A majority of the type B injuries per crash is one and the frequency decreases as the number of type B injuries per crash increases up to 11.
crashes %>%
filter(Injury == "B type injury (evident)") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(TypeB = n, Frequency = nn) %>%
mutate(TypeB = reorder(TypeB, Frequency)) %>%
ggplot(aes(x=TypeB, y=Frequency, fill=TypeB)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y = 0.5) +
coord_flip() +
labs(title = "Number of Type B Injuries per Crash",
x = "Number of Type B Injuries",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Type C Injuries per Crash
Type C injuries are all of the most minor injuries and, fortunately, is the injury type that contains the most observations. Following the same trend as the other type of injuries, the majority of crashes that involved type C injuries only had 1 and there was a decreasing frequency as the number of type C injuries per crash increased up to a maximum of 26.
crashes %>%
filter(Injury == "C type injury (possible)") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(TypeC = n, Frequency = nn) %>%
mutate(TypeC = reorder(TypeC, Frequency)) %>%
ggplot(aes(x=TypeC, y=Frequency, fill=TypeC)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y = 0.5) +
coord_flip() +
labs(title = "Number of Type C Injuries per Crash",
x = "Number of Type C Injuries",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of People with No Injuries per Crash
This plot looks similar to the plot that represents the number of passengers involved per crash. There is a wide range of possible numbers of uninjured people per crash spanning from 1 to 90. Despite this wide range of values, we can still see that the data follows the trend of decreasing frequency as the number of uninjured people per crash increases.
crashes %>%
filter(Injury == "No injury") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(NoInjury = n, Frequency = nn) %>%
mutate(NoInjury = reorder(NoInjury, Frequency)) %>%
ggplot(aes(x=NoInjury, y=Frequency, fill=NoInjury)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y = 0.5) +
coord_flip() +
labs(title = "Number of People with No Injuries per Crash",
x = "Number of People with No Injuries",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Number of Unknown Injuries per Crash
Once again, I do not think that this data will be useful for our analysis since it is likely that these unknown injuries are likely due to poor data entry but we can follow the same trend of a decreasing frequency as the number of unknown injuries per crash in creases from 1 all the way up to 16, with 1 having a very clear majority.
crashes %>%
filter(Injury == "Unknown") %>%
group_by(key_crash) %>%
count() %>%
group_by(n) %>%
count() %>%
rename(Unknown = n, Frequency = nn) %>%
mutate(Unknown = reorder(Unknown, Frequency)) %>%
ggplot(aes(x=Unknown, y=Frequency, fill=Unknown)) +
geom_bar(stat = "identity", show.legend = FALSE) +
geom_text(aes(label=Frequency),nudge_y = 0.5) +
coord_flip() +
labs(title = "Number of Unknown Injuries per Crash",
x = "Number of Unknown Injuries",
y = "Count")## Storing counts in `nn`, as `n` already present in input
## ℹ Use `name = "new_name"` to pick a new name.
Visualizing data using maps
Map of Crash Locations (North Carolina)
crashes %>%
filter(LocationLatitude != "0", LocationLongitude != "0",
LocationLatitude != "NA", LocationLatitude != "",
LocationLongitude != "NA", LocationLongitude != "",
LocationLatitude > 35.4, LocationLatitude < 36.2,
LocationLongitude < -78, LocationLongitude > -79) %>%
ggplot(aes(LocationLongitude, LocationLatitude)) +
borders('county', 'north carolina', fill = "light blue") +
geom_point(size=0.5, col = 'black', show.legend = F) +
coord_quickmap()
Map of Crash Locations (Wake County)
Install necessaary packages
library(maps)
#install.packages("sf")
library(sf)## Linking to GEOS 3.8.1, GDAL 3.2.1, PROJ 7.2.1Create map
From the map, we can see that many crashes occur near the center of Wake County. This makes sense because in the center of Wake County sits Raleigh, the capital of North Carolina.
nc_counties <- map_data("county", "north carolina") %>%
select(lon = long, lat, group, id = subregion)
head(nc_counties)## lon lat group id
## 1 -79.53800 35.84424 1 alamance
## 2 -79.54372 35.89008 1 alamance
## 3 -79.54372 35.89008 1 alamance
## 4 -79.53800 35.98175 1 alamance
## 5 -79.52081 36.23385 1 alamance
## 6 -79.26298 36.23385 1 alamancewake_county <- nc_counties %>%
filter(nc_counties$id == "wake")
wake_map <- wake_county %>%
ggplot() +
geom_polygon(aes(lon, lat), color = "darkblue", fill = "lightblue")
crashes_filter <- crashes %>%
filter(LocationLatitude != "0", LocationLongitude != "0",
LocationLatitude != "NA", LocationLatitude != "",
LocationLongitude != "NA", LocationLongitude != "",
LocationLatitude > 35.4, LocationLatitude < 36.2,
LocationLongitude < -78, LocationLongitude > -79)
wake_map <- wake_map +
geom_point(data = crashes_filter, aes(x=LocationLongitude, y= LocationLatitude), colour = "blue", alpha = 1/10)
wake_map
Heat Map of Crash Locations (Wake County)
Load necessary packages
library(ggplot2)
#install.packages("ggmap")
library(ggmap)
library(RColorBrewer)Create map (zoomed-out version)
map_bounds <- c(-78.98, 35.51, -78.24, 36.06)
coords.map <- get_stamenmap(map_bounds, zoom = 10, maptype = "toner-lite")
coords.map <- ggmap(coords.map, extent="panel", legend="none")
coords.map <- coords.map + stat_density2d(data=crashes_filter,
aes(x=LocationLongitude,
y=LocationLatitude,
fill=..level..),
alpha = 0.3,
geom="polygon")
coords.map <- coords.map + scale_fill_gradientn(colours=rev(brewer.pal(7, "RdBu")))
coords.map <- coords.map + theme_bw()
coords.map
Create map (zoomed-in version)
From the Wake County heat map, we can see that crashes are much more likely to occur in the center of the city. We see that as more streets populate an area, more crashes occur.
crashes_filter <- crashes %>%
filter(LocationLatitude != "0", LocationLongitude != "0",
LocationLatitude != "NA", LocationLatitude != "",
LocationLongitude != "NA", LocationLongitude != "",
LocationLatitude > 35.4, LocationLatitude < 36.2,
LocationLongitude < -78, LocationLongitude > -79)
map_bounds <- c(-78.8, 35.72, -78.5, 35.9) #coordinates of wake county
coords.map <- get_stamenmap(map_bounds, zoom = 13, maptype = "toner-lite")
coords.map <- ggmap(coords.map, extent="panel")
coords.map <- coords.map + stat_density2d(data=crashes_filter,
aes(x=LocationLongitude,
y=LocationLatitude,
fill=..level..),
alpha=0.3,
geom="polygon")
coords.map <- coords.map + scale_fill_gradientn(colours=rev(brewer.pal(7, "RdYlGn")))
coords.map <- coords.map + theme_bw() +
ggtitle("Heat Map of Crash Locations") +
xlab("Latitude") + ylab("Longitude")
coords.map
Interactive Heat Map of Crash Locations
Loading necessary packages
library(plotly)Create map
ggplotly(coords.map) %>%
highlight(
"plotly_hover",
selected = attrs_selected(line = list(color = "black"))
)Visualizing text data using word clouds
Installing and loading necessary packages
devtools::install_github("gaospecial/wordcloud2")#install.packages('wordcloud2')
library(wordcloud2)Word Cloud for Location Road Name On
From the word cloud, we can see many crashes occur on 440, 40, and Capital Blvd. This makes sense because 440 and 40 are major interstates that connect to several major junctions and Capital Blvd is a main road in North Carolina as well.
location_road_name_on_freq <- crashes %>%
count(LocationRoadNameOn)
set.seed(101)
location_road_name_on_freq %>%
wordcloud2(shape = 'circle', backgroundColor = "black", minSize = 5)Word cloud for location road name at
From the word cloud, we can see that 440, Capital Blvd, 40, and Blue Ridge Rd frequently have crashes that are near by. This would make sense because most of these streets are highly trafficked and populated.
location_road_name_at_freq <- crashes %>%
count(LocationRoadNameAt)
set.seed(102)
location_road_name_at_freq %>%
wordcloud2(shape = 'circle', backgroundColor = "black", minSize = 5)Visualizing Data Using Time Series Plots
Time Series Plot for Frequency of Daily Crashes (With Pandemic Data)
From the plot, we see that there are major spikes around March 2015, late October 2015, and December 2016. The two latter spikes may be related to the popular holidays, Halloween and Christmas.
From the time series plot, we can see that there is a significant drop in car crashes in March 2020. This can be explained by the stay-at-home-orders due to the COVID-19 pandemic. After the stay at home orders, the frequency of crashes seems to be slightly lower throughout May 2021. There will likely be an increase in the next few month due to stay-at-home-orders and COVID-19 regulations being lifted now that the vaccination is available.
crashes_ts = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
group_by(Date) %>%
summarize(count = length(unique(key_crash)))
crashes_ts %>%
filter(as.Date(Date) >= "2015/01/01") %>%
ggplot(aes(x = as.Date(Date), y = count)) +
ggtitle("Time Series Plot for Frequency of Daily Crashes (With Pandemic Data)") +
xlab("Date") + ylab("Count") +
geom_line() +
scale_x_date(date_labels = "%m-%Y", date_breaks = "6 month") +
theme(axis.text.x = element_text(angle = 90))
### Time Series Plot for Frequency of Daily Crashes With 7 Day Moving Average (With Pandemic Data)
crashes_ts %>%
filter(as.Date(Date) >= "2015/01/01") %>%
ggplot(aes(x = as.Date(Date), y = count)) +
geom_line() +
geom_line(aes(y=rollmean(count, 7, na.pad = TRUE)), color = "red") +
scale_x_date(date_labels = "%m-%Y", date_breaks = "6 month") +
theme(axis.text.x = element_text(angle = 90)) +
ggtitle("Time Series Plot for Frequency of Daily Crashes With 7 Day Moving Average (With Pandemic Data)")## Warning: Removed 6 row(s) containing missing values (geom_path).
### Time Series Plot for Frequency of Daily Crashes With 30 Day Moving Average (With Pandemic Data)
crashes_ts %>%
filter(as.Date(Date) >= "2015/01/01") %>%
ggplot(aes(x = as.Date(Date), y = count)) +
geom_line() +
geom_line(aes(y=rollmean(count, 30, na.pad = TRUE)), color = "red") +
scale_x_date(date_labels = "%m-%Y", date_breaks = "6 month") +
theme(axis.text.x = element_text(angle = 90)) +
ggtitle("Time Series Plot for Frequency of Daily Crashes With 30 Day Moving Average (With Pandemic Data)")## Warning: Removed 29 row(s) containing missing values (geom_path).
Time Series Plot for Frequency of Daily Crashes With 100 Day Moving Average (With Pandemic Data)
crashes_ts %>%
filter(as.Date(Date) >= "2015/01/01") %>%
ggplot(aes(x = as.Date(Date), y = count)) +
geom_line() +
geom_line(aes(y=rollmean(count, 100, na.pad = TRUE)), color = "red") +
scale_x_date(date_labels = "%m-%Y", date_breaks = "6 month") +
theme(axis.text.x = element_text(angle = 90)) +
ggtitle("Time Series Plot for Frequency of Daily Crashes with 100 Day Moving Average (with Pandemic Data)")## Warning: Removed 99 row(s) containing missing values (geom_path).
Time Series Plot for Frequency of Daily Crashes (Without Pandemic Data)
crashes_ts.noncovid = crashes %>%
filter(as.Date(crash_date) >= "2015/01/01" & as.Date(crash_date) <= "2020/03/01") %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
group_by(Date) %>%
summarize(count = length(unique(key_crash)))
crashes_ts.noncovid %>%
filter(as.Date(Date) >= "2015/01/01") %>%
ggplot(aes(x = as.Date(Date), y = count)) +
ggtitle("Time Series Plot for Frequency of Daily Crashes (Without Pandemic Data") + xlab("Date") + ylab("Count") +
geom_line() +
scale_x_date(date_labels = "%m-%Y", date_breaks = "6 month") +
theme(axis.text.x = element_text(angle = 90))
Time Series Plot for Frequency of Daily Crashes From January 2015 to May 2021 and Regression Line (With Pandemic Data)
Loading necessary libraries
library(forecast)
library(fpp2)
library(TTR)Plotting
#Converting crashes_ts to a time series object
crashests2 <- ts(crashes_ts$count, start = c(2015,1), end = c(2021,153),
frequency = 365)
#Converting crashes_ts to a time series object
crashests <- as.ts(crashes_ts)
#Least squares estimation
fit.crashes <- tslm(count ~ Date, data=crashests)
summary(fit.crashes)##
## Call:
## tslm(formula = count ~ Date, data = crashests)
##
## Residuals:
## Min 1Q Median 3Q Max
## -72.683 -12.810 -0.039 12.445 165.725
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.6907278 0.8168638 90.21 <2e-16 ***
## Date -0.0074302 0.0006026 -12.33 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 19.78 on 2345 degrees of freedom
## Multiple R-squared: 0.06088, Adjusted R-squared: 0.06048
## F-statistic: 152 on 1 and 2345 DF, p-value: < 2.2e-16#Fitted values
autoplot(crashests[,'count'], series="Data") +
autolayer(fitted(fit.crashes), series="Fitted") +
xlab("Date") + ylab("Count") +
ggtitle("Number of Daily Car Crashes (With Pandemic Data)") +
guides(colour=guide_legend(title=" ")) +
scale_x_continuous(breaks = c(0, 365, 731, 1096, 1461, 1826, 2192),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021")) +
theme(axis.text.x = element_text(angle = 90))
Time Series Plot for Frequency of Daily Crashes From January 2015 to May 2021 and Regression Line (Without Pandemic Data)
#Converting crashes_ts to a time series object using ts
crashests.noncovid <- ts(crashes_ts.noncovid$count, start = c(2015,1),
end = c(2020,59), frequency = 365)
#Converting crashes_ts to a time series object using as.ts
crashests.noncovid2 <- as.ts(crashes_ts.noncovid, start = c(2015,1),
end = c(2020,59), frequency = 365)
#Least squares estimation
fit.crashes.noncovid2 <- tslm(count ~ Date, data=crashests.noncovid2)
summary(fit.crashes.noncovid2)##
## Call:
## tslm(formula = count ~ Date, data = crashests.noncovid2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -48.121 -11.832 -0.046 10.794 172.355
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.646e+01 8.401e-01 79.113 < 2e-16 ***
## Date 3.358e-03 7.708e-04 4.357 1.39e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 18.24 on 1885 degrees of freedom
## Multiple R-squared: 0.009969, Adjusted R-squared: 0.009444
## F-statistic: 18.98 on 1 and 1885 DF, p-value: 1.391e-05#Fitted values (linear plot through ts)
autoplot(crashests.noncovid2[,'count'], series="Data") +
autolayer(fitted(fit.crashes.noncovid2), series="Fitted") +
xlab("Date") + ylab("Count") +
ggtitle("Number of Daily Car Crashes (Without Pandemic Data)") +
guides(colour=guide_legend(title=" ")) +
scale_x_continuous(breaks = c(0, 365, 731, 1096, 1461, 1826, 2192),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021")) +
theme(axis.text.x = element_text(angle = 90))
Time Series Plot for Frequency of Daily Crashes Organized by Year From January 2015 to May 2021 (With Pandemic Data)
crashes_annual = crashes_ts %>%
separate(Date,
into = c("Year", "Month"), sep = 4, remove = FALSE) %>%
select(-Month)
crashes_annual %>%
filter(as.Date(Date) >= "2015/01/01") %>%
ggplot(aes(x = as.Date(Date), y = count)) +
ggtitle("Time Series Plots for Frequency of Daily Crashes Organized by Year") +
geom_line() +
scale_x_date(date_labels = "%m-%Y", date_breaks = "1 month") +
xlab("Date") + ylab("Count") +
theme(axis.text.x = element_text(angle = 90)) +
facet_wrap(~Year, scales = "free_x")
Forecasting Using Time Series Plots
Time Series Forecast of Daily Crashes (With Pandemic Data)
HoltWinters Forecasting and Time Series (With Pandemic Data)
covid <- HoltWinters(crashests2)
summary(covid)## Length Class Mode
## fitted 7912 mts numeric
## x 2343 ts numeric
## alpha 1 -none- numeric
## beta 1 -none- numeric
## gamma 1 -none- numeric
## coefficients 367 -none- numeric
## seasonal 1 -none- character
## SSE 1 -none- numeric
## call 2 -none- callplot(fitted(covid), main = "Box Jenkins Decomposition of Daily Crashes (With Pandemic Data)")
fcast <- forecast(covid, 210)
summary(fcast)##
## Forecast method: HoltWinters
##
## Model Information:
## Holt-Winters exponential smoothing with trend and additive seasonal component.
##
## Call:
## HoltWinters(x = crashests2)
##
## Smoothing parameters:
## alpha: 0.08077377
## beta : 0
## gamma: 0.5202656
##
## Coefficients:
## [,1]
## a 50.54984009
## b 0.01038832
## s1 -6.23449175
## s2 -1.93564335
## s3 2.86487713
## s4 3.28987252
## s5 18.74605442
## s6 11.34313976
## s7 10.93677566
## s8 -2.05767179
## s9 1.10585292
## s10 2.12610252
## s11 2.85764739
## s12 2.56818547
## s13 1.44799761
## s14 -0.22202840
## s15 -6.64149445
## s16 11.21950926
## s17 2.33492289
## s18 -3.81325334
## s19 -12.43592667
## s20 -8.82891425
## s21 -6.98425032
## s22 -18.59843672
## s23 -4.28591066
## s24 3.00785928
## s25 6.65753804
## s26 0.46225594
## s27 10.73197209
## s28 5.46095777
## s29 -1.34256568
## s30 -3.26511301
## s31 -0.93528345
## s32 -2.46074674
## s33 1.54812218
## s34 -13.16233602
## s35 -14.81325852
## s36 -15.65407423
## s37 -10.94124296
## s38 -8.23887077
## s39 0.09667156
## s40 -2.79874332
## s41 14.35529063
## s42 -2.87078344
## s43 -10.64056090
## s44 -3.07418243
## s45 3.58884162
## s46 5.78232493
## s47 -7.75697781
## s48 11.82025001
## s49 1.81002608
## s50 -10.60009088
## s51 -7.48194865
## s52 -5.95450286
## s53 -2.11306421
## s54 -0.10492356
## s55 5.51864882
## s56 1.43270639
## s57 -14.98387363
## s58 -10.19643554
## s59 4.61816393
## s60 -1.53538748
## s61 -8.78850745
## s62 1.36509713
## s63 -8.39174391
## s64 3.60307440
## s65 -11.25208893
## s66 -1.31340652
## s67 -4.61503589
## s68 -2.66794678
## s69 3.56482888
## s70 8.40970924
## s71 -4.16925423
## s72 -8.83976312
## s73 -9.81868936
## s74 1.40258791
## s75 -2.88439542
## s76 -0.84655366
## s77 3.99764272
## s78 -5.75316399
## s79 -6.24224007
## s80 6.39625666
## s81 3.54658925
## s82 5.73704838
## s83 7.75176805
## s84 7.56696843
## s85 -10.11964997
## s86 -9.96441055
## s87 -3.23972507
## s88 -4.70034794
## s89 1.20269853
## s90 8.71712990
## s91 7.83078519
## s92 -7.95706133
## s93 5.56955590
## s94 -8.32756005
## s95 -4.66652660
## s96 2.96646219
## s97 3.31559968
## s98 -11.95260985
## s99 -10.18398290
## s100 -20.82118897
## s101 -8.22737899
## s102 -14.29541896
## s103 11.81983300
## s104 22.42320993
## s105 2.06135988
## s106 -14.67607014
## s107 -7.58268340
## s108 -3.17511188
## s109 5.27828903
## s110 14.20250750
## s111 11.39954055
## s112 3.59972812
## s113 -5.09169713
## s114 0.65032801
## s115 1.60533792
## s116 4.01954729
## s117 -5.51861598
## s118 21.63521717
## s119 0.29203380
## s120 -6.79267595
## s121 -1.12515999
## s122 2.32044763
## s123 8.59125612
## s124 13.00073898
## s125 11.83719191
## s126 4.18327384
## s127 -3.45440626
## s128 4.48522046
## s129 4.26506407
## s130 7.41325466
## s131 7.21693533
## s132 6.54430396
## s133 16.01006604
## s134 1.62241040
## s135 8.06820807
## s136 5.96081224
## s137 8.83833826
## s138 8.72985950
## s139 -7.86239803
## s140 0.77833533
## s141 -4.55359983
## s142 -8.08896614
## s143 -2.65142054
## s144 21.48204145
## s145 13.54022630
## s146 32.81280146
## s147 12.13861445
## s148 16.76408889
## s149 11.00514208
## s150 11.97777356
## s151 10.23097784
## s152 16.97105275
## s153 -4.06605961
## s154 5.16193255
## s155 8.51991802
## s156 -0.33877794
## s157 16.56480186
## s158 19.91815994
## s159 16.06335580
## s160 19.93619458
## s161 23.61266969
## s162 6.34656318
## s163 12.27984110
## s164 3.74073120
## s165 28.19571659
## s166 34.27865794
## s167 7.93572720
## s168 20.14784906
## s169 2.67768830
## s170 3.39915036
## s171 14.15285244
## s172 7.56542560
## s173 13.07838148
## s174 11.78106310
## s175 2.84385148
## s176 -12.46781771
## s177 3.38628760
## s178 -5.86384012
## s179 -1.85297347
## s180 -12.12571278
## s181 -15.38396317
## s182 -6.88497127
## s183 -10.79117418
## s184 8.42295365
## s185 3.81777322
## s186 14.41968988
## s187 8.71937536
## s188 13.35241398
## s189 12.14044801
## s190 0.89757331
## s191 3.81503990
## s192 11.53740048
## s193 3.06070657
## s194 9.55270876
## s195 15.17009463
## s196 19.36697114
## s197 13.65442119
## s198 17.72223523
## s199 12.24465311
## s200 22.60889814
## s201 18.15173022
## s202 15.46082898
## s203 16.31807653
## s204 -1.62684658
## s205 -2.91058814
## s206 4.64985434
## s207 -1.73788437
## s208 -11.88671191
## s209 -34.55434101
## s210 -18.85992119
## s211 -25.35411731
## s212 -18.09027336
## s213 -16.49955352
## s214 -11.43239810
## s215 -5.21188327
## s216 -21.49149913
## s217 -12.18677393
## s218 -9.35611599
## s219 -7.94366243
## s220 -7.44240524
## s221 0.61005315
## s222 -5.27741616
## s223 -3.12180648
## s224 -2.11230701
## s225 -15.16755451
## s226 -14.79396671
## s227 1.16218679
## s228 -8.50231630
## s229 -7.42278686
## s230 7.40925711
## s231 2.93635347
## s232 -14.99553722
## s233 -17.45147372
## s234 -11.06836096
## s235 -12.28925461
## s236 -15.15928552
## s237 -1.17423487
## s238 3.93826589
## s239 -12.91207270
## s240 -13.98285601
## s241 -3.94134772
## s242 -1.96363600
## s243 -8.68689640
## s244 -3.20291537
## s245 -1.32066330
## s246 -8.48049415
## s247 -14.53117625
## s248 -11.89676528
## s249 -10.12810557
## s250 -3.07357242
## s251 11.47852808
## s252 -7.71611094
## s253 -14.69555089
## s254 -9.65066889
## s255 -14.10449131
## s256 -4.44297173
## s257 -3.64289585
## s258 10.80472876
## s259 12.07604009
## s260 -9.43646956
## s261 -4.34013392
## s262 -6.86101681
## s263 -2.05890940
## s264 -11.35362995
## s265 1.02173269
## s266 -16.46138754
## s267 -17.05526062
## s268 -1.03786754
## s269 -2.51305778
## s270 6.67938413
## s271 -4.27375956
## s272 11.61766310
## s273 -7.25976929
## s274 -4.46956094
## s275 -10.63323503
## s276 -7.32952420
## s277 7.12042706
## s278 -4.86888235
## s279 0.79707701
## s280 -5.89717718
## s281 -16.58973965
## s282 -7.14488850
## s283 -15.58062231
## s284 -20.36239502
## s285 -17.89649144
## s286 -19.71531297
## s287 -8.87619104
## s288 -18.66001649
## s289 -1.80762526
## s290 0.50015895
## s291 -3.95486869
## s292 -3.34882589
## s293 2.21324366
## s294 6.90389151
## s295 -4.39108294
## s296 -6.09735957
## s297 -11.77800237
## s298 -1.97232884
## s299 -9.65212348
## s300 0.11349890
## s301 1.18379416
## s302 -10.76519132
## s303 -4.16288539
## s304 -3.10285789
## s305 -9.23177797
## s306 -0.12151806
## s307 -3.40646565
## s308 -11.35257966
## s309 -6.39960971
## s310 -9.52654032
## s311 -5.51393075
## s312 0.83619338
## s313 -4.08983296
## s314 3.67275951
## s315 -0.08242832
## s316 -12.08616682
## s317 2.91680294
## s318 -3.93073306
## s319 -8.01971128
## s320 -3.40881117
## s321 4.54358359
## s322 -5.00718868
## s323 -10.91502771
## s324 -12.84374924
## s325 -23.01612327
## s326 -6.65628934
## s327 2.48354832
## s328 -4.64843499
## s329 -1.78470180
## s330 -10.43432871
## s331 -5.49469424
## s332 -17.46183832
## s333 -22.90502577
## s334 2.62847601
## s335 23.01676905
## s336 18.48824973
## s337 -0.75629702
## s338 2.47486703
## s339 2.48665606
## s340 6.42353251
## s341 6.42197949
## s342 6.95522618
## s343 16.83360143
## s344 -8.53275817
## s345 0.12797564
## s346 0.35957591
## s347 2.53313484
## s348 1.97810544
## s349 9.34497032
## s350 -10.99416861
## s351 -13.63501980
## s352 -0.09250644
## s353 -8.96483344
## s354 -19.44184440
## s355 3.88194873
## s356 18.69262114
## s357 8.90101823
## s358 0.69664597
## s359 8.44883556
## s360 -2.98276569
## s361 -8.78553384
## s362 13.64601424
## s363 12.00914555
## s364 4.37740181
## s365 -6.88997498
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set -0.2337277 19.34958 14.47599 -8.894566 27.82532 0.7206301 0.127432
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## 2021.4192 44.32574 19.5237851 69.12769 6.39442496 82.25705
## 2021.4219 48.63497 23.7522444 73.51770 10.58012330 86.68982
## 2021.4247 53.44588 28.4826371 78.40913 15.26789347 91.62387
## 2021.4274 53.88127 28.8377637 78.92477 15.58053444 92.18200
## 2021.4301 69.34784 44.2243331 94.47134 30.92475401 107.77092
## 2021.4329 61.95531 36.7520599 87.15856 23.41026540 100.50035
## 2021.4356 61.55933 36.2765888 86.84208 22.89271204 100.22596
## 2021.4384 48.57527 23.2132836 73.93727 9.78745640 87.36309
## 2021.4411 51.74919 26.3081973 77.19018 12.84055044 90.65783
## 2021.4438 52.77983 27.2600805 78.29957 13.75074337 91.80891
## 2021.4466 53.52176 27.9235012 79.12002 14.37260213 92.67092
## 2021.4493 53.24269 27.5661552 78.91922 13.97382125 92.51155
## 2021.4521 52.13289 26.3783212 77.88745 12.74467824 91.52109
## 2021.4548 50.47325 24.6408847 76.30561 10.96605760 89.98044
## 2021.4575 44.06417 18.1542418 69.97410 4.43835417 83.68999
## 2021.4603 61.93556 35.9483002 87.92282 22.19147458 101.67965
## 2021.4630 53.06136 26.9969979 79.12573 13.19935582 92.92337
## 2021.4658 46.92358 20.7823332 73.06482 6.94399500 86.90316
## 2021.4685 38.31129 12.0933969 64.52919 -1.78551817 78.40810
## 2021.4712 41.92869 15.6343697 68.22301 1.71499615 82.14239
## 2021.4740 43.78374 17.4132155 70.15427 3.45350074 84.11399
## 2021.4767 32.17995 5.7334306 58.62646 -8.26650917 72.62640
## 2021.4795 46.50286 19.9805758 73.02515 5.94052634 87.06520
## 2021.4822 53.80702 27.2091808 80.40486 13.12913583 94.48490
## 2021.4849 57.46709 30.7939086 84.14026 16.67398142 98.26019
## 2021.4877 51.28219 24.5338878 78.03050 10.37419070 92.19019
## 2021.4904 61.56230 34.7390756 88.38552 20.53972002 102.58487
## 2021.4932 56.30167 29.4037416 83.19960 15.16483800 97.43850
## 2021.4959 49.50854 22.5361054 76.48097 8.25776331 90.75931
## 2021.4986 47.59638 20.5496505 74.64310 6.23197858 88.96077
## 2021.5014 49.93659 22.8157760 77.05741 8.45888202 91.41431
## 2021.5041 48.42152 21.2268106 75.61623 6.83080132 90.01224
## 2021.5068 52.44078 25.1723776 79.70918 10.73735906 94.14419
## 2021.5096 37.74071 10.3988161 65.08260 -4.07510658 79.55652
## 2021.5123 36.10017 8.6849873 63.51536 -5.82773522 78.02808
## 2021.5151 35.26975 7.7814607 62.75803 -6.76995819 77.30945
## 2021.5178 39.99296 12.4317749 67.55415 -2.15823768 82.14417
## 2021.5205 42.70573 15.0718225 70.33963 0.44331793 84.96813
## 2021.5233 51.05166 23.3452310 78.75808 8.67833551 93.42498
## 2021.5260 48.16663 20.3878716 75.94539 5.68268545 90.65057
## 2021.5288 65.33105 37.4801489 93.18195 22.73677152 107.92533
## 2021.5315 48.11537 20.1925046 76.03823 5.41103466 90.81970
## 2021.5342 40.35598 12.3613418 68.35061 -2.45812272 83.17008
## 2021.5370 47.93274 19.8665186 75.99897 5.00915653 90.85633
## 2021.5397 54.60616 26.4685230 82.74379 11.57335994 97.63895
## 2021.5425 56.81003 28.6011675 85.01889 13.66829905 99.95176
## 2021.5452 43.28111 15.0012053 71.56102 0.03072647 86.53150
## 2021.5479 62.86873 34.5179518 91.21951 19.50995677 106.22750
## 2021.5507 52.86889 24.4474232 81.29036 9.40200556 96.33578
## 2021.5534 40.46917 11.9771770 68.96115 -3.10557042 84.04390
## 2021.5562 43.59770 15.0353640 72.16003 -0.08462094 87.28001
## 2021.5589 45.13553 16.5030275 73.76803 1.34589639 88.92516
## 2021.5616 48.98736 20.2848553 77.68986 5.09066894 92.88404
## 2021.5644 51.00589 22.2335555 79.77822 7.00240395 95.00937
## 2021.5671 56.63985 27.7978564 85.48184 12.52982923 100.74986
## 2021.5699 52.56429 23.6528104 81.47577 8.34799640 96.78059
## 2021.5726 36.15810 7.1772934 65.13891 -8.16421918 80.48042
## 2021.5753 40.95593 11.9059599 70.00589 -3.47216364 85.38402
## 2021.5781 55.78091 26.6619521 84.89988 11.24730450 100.31452
## 2021.5808 49.63775 20.4499565 78.82555 4.99887119 94.27663
## 2021.5836 42.39502 13.1385543 71.65149 -2.34888300 87.13892
## 2021.5863 52.55901 23.2340375 81.88399 7.71033328 97.40769
## 2021.5890 42.81256 13.4192347 72.20589 -2.14065185 87.76577
## 2021.5918 54.81777 25.3562498 84.27928 9.76026488 99.87527
## 2021.5945 39.97299 10.4434408 69.50254 -5.18855919 85.13454
## 2021.5973 49.92206 20.3246339 79.51949 4.65670165 95.18742
## 2021.6000 46.63082 16.9656705 76.29597 1.26188824 91.99975
## 2021.6027 48.58830 18.8555799 78.32102 3.11602922 94.06057
## 2021.6055 54.83146 25.0313290 84.63160 9.25609105 100.40683
## 2021.6082 59.68673 29.8193349 89.55413 14.00849029 105.36497
## 2021.6110 47.11816 17.1836482 77.05266 1.33727685 92.89904
## 2021.6137 42.45804 12.4565662 72.45951 -3.42525241 88.34132
## 2021.6164 41.48950 11.4212159 71.55778 -4.49597097 87.47497
## 2021.6192 52.72116 22.5862173 82.85611 6.63374054 98.80859
## 2021.6219 48.44457 18.2431053 78.64603 2.25541648 94.63372
## 2021.6247 50.49280 20.2249645 80.76063 4.20214107 96.78346
## 2021.6274 55.34738 25.0133236 85.68144 8.95544239 101.73932
## 2021.6301 45.60696 15.2068238 76.00711 -0.88603875 92.09997
## 2021.6329 45.12828 14.6621980 75.59436 -1.46557005 91.72212
## 2021.6356 57.77716 27.2452874 88.30904 11.08268924 104.47163
## 2021.6384 54.93788 24.3403541 85.53541 8.14300078 101.73277
## 2021.6411 57.13873 26.4756880 87.80177 10.24365384 104.03381
## 2021.6438 59.16384 28.4354221 89.89225 12.16878106 106.15890
## 2021.6466 58.98943 28.1957756 89.78308 11.89460125 106.08425
## 2021.6493 41.31320 10.4544483 72.17195 -5.88118643 88.50758
## 2021.6521 41.47882 10.5551159 72.40253 -5.81490672 88.77256
## 2021.6548 48.21390 17.2253657 79.20243 0.82102731 95.60677
## 2021.6575 46.76366 15.7104424 77.81689 -0.72814005 94.25547
## 2021.6603 52.67710 21.5593230 83.79487 5.08656759 100.26763
## 2021.6630 60.20192 29.0197221 91.38411 12.51286452 107.89097
## 2021.6658 59.32596 28.0794780 90.57245 11.53858849 107.11334
## 2021.6685 43.54850 12.2378640 74.85914 -4.33698747 91.43400
## 2021.6712 57.08551 25.7108450 88.46017 9.10210095 105.06892
## 2021.6740 43.19878 11.7602232 74.63734 -4.88234441 91.27991
## 2021.6767 46.87020 15.3678804 78.37253 -1.30844217 95.04885
## 2021.6795 54.51358 22.9476217 86.07954 6.23761240 102.78955
## 2021.6822 54.87311 23.2436397 86.50257 6.50001148 103.24620
## 2021.6849 39.61529 7.9224380 71.30813 -8.85474184 88.08531
## 2021.6877 41.39430 9.6381993 73.15040 -7.17246521 89.96107
## 2021.6904 30.76748 -1.0517467 62.58671 -17.89582930 79.43079
## 2021.6932 43.37168 11.4894483 75.25391 -5.38798617 92.13135
## 2021.6959 37.31403 5.3689177 69.25914 -11.54180295 86.16986
## 2021.6986 63.43967 31.4318025 95.44754 14.48786110 112.39148
## 2021.7014 74.05343 41.9829350 106.12393 25.00583795 123.10103
## 2021.7041 53.70197 21.5689627 85.83498 4.55877450 102.84517
## 2021.7068 36.97493 4.7795318 69.17033 -12.26368328 86.21355
## 2021.7096 44.07871 11.8210383 76.33637 -5.25513977 93.41255
## 2021.7123 48.49667 16.1768495 80.81648 -0.93222800 97.92556
## 2021.7151 56.96046 24.5786094 89.34230 7.43669558 106.48422
## 2021.7178 65.89506 33.4513055 98.33882 16.27661810 115.51351
## 2021.7205 63.10248 30.5969341 95.60803 13.38953552 112.81543
## 2021.7233 55.31306 22.7458344 87.88028 5.50578679 105.12033
## 2021.7260 46.63202 14.0032385 79.26081 -3.26939647 96.53344
## 2021.7288 52.38444 19.6942089 85.07466 2.38904794 102.37982
## 2021.7315 53.34983 20.5982793 86.10139 3.26065341 103.43902
## 2021.7342 55.77443 22.9616639 88.58720 5.59163365 105.95723
## 2021.7370 46.24666 13.3727897 79.12052 -4.02958444 96.52290
## 2021.7397 73.41088 40.4760254 106.34573 23.04136724 123.78039
## 2021.7425 52.07808 19.0823572 85.07381 1.61547480 102.54069
## 2021.7452 45.00376 11.9472747 78.06025 -5.55177259 95.55930
## 2021.7479 50.68167 17.5645295 83.79880 0.03337622 101.32996
## 2021.7507 54.13766 20.9599868 87.31534 3.39678626 104.87854
## 2021.7534 60.41886 27.1807552 93.65696 9.58556579 111.25215
## 2021.7562 64.83873 31.5403076 98.13715 13.91318742 115.76427
## 2021.7589 63.68557 30.3269392 97.04420 12.66794591 114.70320
## 2021.7616 56.04204 22.6233082 89.46078 4.93249931 107.15158
## 2021.7644 48.41475 14.9360231 81.89348 -2.78654431 99.61604
## 2021.7671 56.36476 22.8261522 89.90338 5.07188301 107.65765
## 2021.7699 56.15500 22.5566049 89.75339 4.77069046 107.53930
## 2021.7726 59.31358 25.6555107 92.97164 7.83800728 110.78914
## 2021.7753 59.12764 25.4100122 92.84528 7.56097569 110.69431
## 2021.7781 58.46540 24.6883067 92.24250 6.80779271 110.12301
## 2021.7808 67.94155 34.1050992 101.77801 16.19316301 119.68994
## 2021.7836 53.56428 19.6685779 87.45999 1.72527455 105.40330
## 2021.7863 60.02047 26.0656133 93.97533 8.09099755 111.94994
## 2021.7890 57.92346 23.9095581 91.93737 5.90368436 109.94324
## 2021.7918 60.81138 26.7385271 94.88423 8.70144952 112.92131
## 2021.7945 60.71329 26.5815930 94.84498 8.51336558 112.91321
## 2021.7973 44.13142 9.9409815 78.32185 -8.15834224 96.42118
## 2021.8000 52.78254 18.5334616 87.03162 0.40309492 105.16198
## 2021.8027 47.46099 13.1533735 81.76861 -5.00798315 99.92997
## 2021.8055 43.93601 9.5699539 78.30208 -8.62233986 96.49437
## 2021.8082 49.38395 14.9595454 83.80835 -3.26363291 102.03153
## 2021.8110 73.52780 39.0451521 108.01045 20.79114139 126.26446
## 2021.8137 65.59637 31.0555798 100.13716 12.77078875 118.42196
## 2021.8164 84.87934 50.2804955 119.47818 31.96497586 137.79370
## 2021.8192 64.21554 29.5587463 98.87233 11.21254950 117.21852
## 2021.8219 68.85140 34.1367553 103.56604 15.75993254 121.94287
## 2021.8247 63.10284 28.3304392 97.87524 9.92304154 116.28264
## 2021.8274 64.08586 29.2557973 98.91592 10.81787531 117.35385
## 2021.8301 62.34945 27.4618234 97.23708 8.99342762 115.70548
## 2021.8329 69.09992 34.1548151 104.04502 15.65599561 122.54384
## 2021.8356 48.07319 13.0707138 83.07567 -5.45847936 101.60486
## 2021.8384 57.31157 22.2518109 92.37134 3.69229380 110.93085
## 2021.8411 60.67995 25.5629948 95.79690 6.97320318 114.38669
## 2021.8438 51.83164 16.6575902 87.00569 -1.96242667 105.62571
## 2021.8466 68.74561 33.5145540 103.97666 14.86436077 122.62685
## 2021.8493 72.10935 36.8213880 107.39732 18.14106730 126.07764
## 2021.8521 68.26494 32.9201516 103.60972 14.20975178 122.32012
## 2021.8548 72.14817 36.7466492 107.54968 18.00621865 126.29011
## 2021.8575 75.83503 40.3768739 111.29318 21.60646067 130.06360
## 2021.8603 58.57931 23.0646074 94.09401 4.26425920 112.89436
## 2021.8630 64.52298 28.9518151 100.09414 10.12157965 118.92437
## 2021.8658 55.99426 20.3667245 91.62179 1.50664910 110.48186
## 2021.8685 80.45963 44.7758183 116.14344 25.88595004 135.03331
## 2021.8712 86.55296 50.8129566 122.29296 31.89334247 141.21257
## 2021.8740 60.22042 24.4243111 96.01652 5.47499771 114.96583
## 2021.8767 72.44293 36.5908059 108.29505 17.61183981 127.27401
## 2021.8795 54.98315 19.0751055 90.89120 0.06653295 109.89977
## 2021.8822 55.71500 19.7511149 91.67889 0.71298191 110.71703
## 2021.8849 66.47909 30.4594509 102.49874 11.39180329 121.56639
## 2021.8877 59.90206 23.8267441 95.97737 4.72962753 115.07448
## 2021.8904 65.42540 29.2945058 101.55629 10.16796567 120.68283
## 2021.8932 64.13847 27.9520787 100.32486 8.79616012 119.48078
## 2021.8959 55.21165 18.9698432 91.45345 -0.21540870 110.63870
## 2021.8986 39.91037 3.6132348 76.20750 -15.60130573 95.42204
## 2021.9014 55.77486 19.4224851 92.12723 0.17870054 111.37102
## 2021.9041 46.53512 10.1275863 82.94265 -9.14539802 102.21564
## 2021.9068 50.55638 14.0937652 87.01899 -5.20837461 106.32112
## 2021.9096 40.29402 3.7764212 76.81163 -15.55483011 96.14288
## 2021.9123 37.04616 0.4736488 73.61868 -18.88667022 92.97899
## 2021.9151 45.55554 8.9282011 82.18288 -10.46114216 101.57223
## 2021.9178 41.65973 4.9776405 78.34181 -14.44068356 97.76014
## 2021.9205 60.88424 24.1474922 97.62100 4.70023053 117.06826
## 2021.9233 56.28945 19.4981168 93.08079 0.02196059 112.55694
## 2021.9260 66.90176 30.0559194 103.74759 10.55091140 123.25260
## 2021.9288 61.21183 24.3115714 98.11209 4.77775415 117.64591
## 2021.9315 65.85526 28.9006566 102.80986 9.33807261 122.37244
## 2021.9342 64.65368 27.6448170 101.66254 8.05350851 121.25385
## 2021.9370 53.42119 16.3581482 90.48424 -3.26184283 110.10423
## 2021.9397 56.34905 19.2318997 93.46620 -0.41673191 113.11483
## 2021.9425 64.08180 26.9106240 101.25297 7.23339344 120.93020
## 2021.9452 55.61549 18.3903721 92.84061 -1.31541580 112.54640
## 2021.9479 62.11788 24.8388945 99.39687 5.10459046 119.13117
## 2021.9507 67.74566 30.4128782 105.07843 10.65009927 124.84121
## 2021.9534 71.95292 34.5664300 109.33941 14.77521708 129.13063
## 2021.9562 66.25076 28.8106324 103.69089 8.99102628 123.51049
## 2021.9589 70.32896 32.8352755 107.82265 12.98731682 127.67061
## 2021.9616 64.86177 27.3145988 102.40894 7.43832804 122.28521
## 2021.9644 75.23640 37.6358254 112.83698 17.73128276 132.74152
## 2021.9671 70.78962 33.1357147 108.44353 13.20294037 128.37630
## 2021.9699 68.10911 30.4019462 105.81627 10.44098002 125.77724
## 2021.9726 68.97674 31.2164016 106.73709 11.22728334 126.72621
## 2021.9753 51.04221 13.2287611 88.85566 -6.78846963 108.87289
## 2021.9781 49.76886 11.9023766 87.63534 -8.14292714 107.68064
## 2021.9808 57.33969 19.4202503 95.25912 -0.65308719 115.33246
## 2021.9836 50.96234 12.9900167 88.93466 -7.11131547 109.03599
## 2021.9863 40.82390 2.7987678 78.84903 -17.33052009 98.97832
## 2021.9890 18.16666 -19.9112094 56.24452 -40.06841427 76.40173
## 2021.9918 33.87147 -4.2590647 72.00200 -24.44414799 92.18708autoplot(fcast) +
ggtitle("Forecasts of Daily Car Crashes Using Holt Winters (With Pandemic Data)") +
xlab("Year") + ylab("Crashes")
STLF Forecasting and Time Series (With Pandemic Data)
crashests2 %>% mstl() %>%
autoplot()
m <- crashests2 %>%
stlf(lambda = 0, h = 210)
m %>%
autoplot() +
ggtitle("Seasonal and Trend Decomposition Using Loess Forecasting Model for Daily Car Crashes (With Pandemic Data)") +
xlab("Year") + ylab("Crashes")
m %>% summary()##
## Forecast method: STL + ETS(A,Ad,N)
##
## Model Information:
## ETS(A,Ad,N)
##
## Call:
## ets(y = na.interp(x), model = etsmodel, allow.multiplicative.trend = allow.multiplicative.trend)
##
## Smoothing parameters:
## alpha = 0.1082
## beta = 1e-04
## phi = 0.8299
##
## Initial states:
## l = 2.444
## b = 0.373
##
## sigma: 0.2774
##
## AIC AICc BIC
## 12177.40 12177.43 12211.95
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set 1.759659 15.91581 12.2582 -4.347864 22.19212 0.6102258 0.1667343
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## 2021.4192 51.12419 35.83039 72.94597 29.68455 88.04859
## 2021.4219 53.32041 37.29208 76.23781 30.86156 92.12321
## 2021.4247 55.11632 38.46850 78.96872 31.80030 95.52765
## 2021.4274 50.91162 35.46078 73.09466 29.28202 88.51824
## 2021.4301 65.97264 45.85700 94.91220 37.82576 115.06416
## 2021.4329 60.25931 41.80043 86.86953 34.44246 105.42754
## 2021.4356 58.61464 40.57719 84.67014 33.39866 102.86867
## 2021.4384 52.85744 36.51788 76.50797 30.02540 93.05152
## 2021.4411 54.33807 37.46551 78.80917 30.77183 95.95225
## 2021.4438 53.90318 37.09149 78.33477 30.43243 95.47557
## 2021.4466 53.53410 36.76437 77.95320 30.13231 95.11053
## 2021.4493 53.41694 36.61143 77.93658 29.97556 95.18986
## 2021.4521 56.42912 38.59991 82.49358 31.57073 100.86068
## 2021.4548 53.07236 36.23274 77.73842 29.60393 95.14535
## 2021.4575 49.68933 33.85710 72.92500 27.63439 89.34623
## 2021.4603 60.94827 41.44824 89.62241 33.79563 109.91630
## 2021.4630 52.03115 35.31590 76.65782 28.76612 94.11209
## 2021.4658 49.11755 33.27437 72.50425 27.07569 89.10330
## 2021.4685 42.43485 28.69236 62.75945 23.32366 77.20557
## 2021.4712 42.95000 28.98551 63.64222 23.53826 78.37037
## 2021.4740 45.72750 30.80162 67.88618 24.98803 83.68025
## 2021.4767 35.44647 23.83149 52.72235 19.31420 65.05329
## 2021.4795 46.71909 31.35152 69.61938 25.38359 85.98756
## 2021.4822 49.73869 33.31565 74.25750 26.94722 91.80678
## 2021.4849 52.05751 34.80414 77.86386 28.12351 96.36010
## 2021.4877 52.53300 35.05717 78.72044 28.30027 97.51554
## 2021.4904 57.12650 38.05250 85.76145 30.68837 106.34118
## 2021.4932 58.67845 39.01473 88.25285 31.43389 109.53659
## 2021.4959 52.71135 34.98340 79.42299 28.15868 98.67248
## 2021.4986 50.65779 33.55951 76.46750 26.98662 95.09202
## 2021.5014 49.27077 32.58170 74.50837 26.17525 92.74444
## 2021.5041 46.90884 30.96402 71.06439 24.85197 88.54186
## 2021.5068 49.85250 32.84818 75.65935 26.33921 94.35636
## 2021.5096 33.54548 22.06396 51.00170 17.67521 63.66540
## 2021.5123 44.92317 29.49498 68.42152 23.60591 85.49093
## 2021.5151 45.04515 29.52279 68.72881 23.60605 85.95535
## 2021.5178 45.03322 29.46301 68.83178 23.53628 86.16446
## 2021.5205 48.08065 31.40164 73.61873 25.06165 92.24248
## 2021.5233 52.80163 34.42471 80.98867 27.44896 101.57075
## 2021.5260 49.82308 32.42632 76.55321 25.83171 96.09657
## 2021.5288 62.24278 40.43927 95.80201 32.18550 120.36983
## 2021.5315 52.05824 33.76401 80.26476 26.84813 100.94036
## 2021.5342 51.56018 33.38352 79.63366 26.52142 100.23790
## 2021.5370 55.77850 36.05294 86.29646 28.61618 108.72316
## 2021.5397 53.74950 34.68226 83.29934 27.50338 105.04197
## 2021.5425 56.67828 36.50997 87.98768 28.92674 111.05392
## 2021.5452 49.78755 32.01697 77.42143 25.34423 97.80531
## 2021.5479 58.42863 37.51050 91.01199 29.66633 115.07675
## 2021.5507 54.68779 35.04998 85.32826 27.69571 107.98618
## 2021.5534 51.69652 33.07744 80.79617 26.11390 102.34129
## 2021.5562 48.30891 30.85841 75.62770 24.34053 95.87919
## 2021.5589 52.21681 33.29930 81.88145 26.24277 103.89890
## 2021.5616 52.28729 33.28910 82.12780 26.21175 104.30283
## 2021.5644 51.42809 32.68813 80.91159 25.71609 102.84800
## 2021.5671 58.64339 37.21304 92.41513 29.25043 117.57255
## 2021.5699 58.28170 36.92302 91.99565 28.99732 117.14036
## 2021.5726 47.70745 30.17468 75.42751 23.67709 96.12673
## 2021.5753 52.53867 33.17642 83.20103 26.01006 106.12478
## 2021.5781 59.16287 37.29891 93.84311 29.21700 119.80169
## 2021.5808 56.71432 35.69756 90.10460 27.93874 115.12738
## 2021.5836 50.44723 31.70184 80.27682 24.79037 102.65773
## 2021.5863 58.14424 36.48023 92.67354 28.50280 118.61123
## 2021.5890 50.77892 31.80831 81.06369 24.83151 103.83978
## 2021.5918 61.13979 38.23751 97.75936 29.82539 125.33194
## 2021.5945 46.94565 29.31378 75.18287 22.84566 96.46885
## 2021.5973 56.47330 35.20731 90.58442 27.41580 116.32827
## 2021.6000 51.61730 32.12923 82.92589 24.99805 106.58211
## 2021.6027 53.34430 33.15209 85.83515 25.77244 110.41307
## 2021.6055 59.84937 37.13663 96.45323 28.84610 124.17441
## 2021.6082 65.06713 40.31129 105.02595 31.28618 135.32272
## 2021.6110 59.90320 37.05437 96.84129 28.73477 124.87983
## 2021.6137 52.96110 32.70944 85.75136 25.34456 110.66983
## 2021.6164 51.25679 31.60794 83.12020 24.47105 107.36190
## 2021.6192 56.89543 35.03104 92.40633 27.09913 119.45368
## 2021.6219 54.04153 33.22281 87.90609 25.67943 113.72864
## 2021.6247 54.05792 33.18204 88.06748 25.62715 114.02981
## 2021.6274 64.67453 39.63823 105.52427 30.58867 136.74330
## 2021.6301 59.97863 36.70428 98.01134 28.30175 127.11004
## 2021.6329 54.26139 33.15526 88.80336 25.54466 115.26080
## 2021.6356 62.55522 38.16527 102.53184 29.38113 133.18600
## 2021.6384 60.72714 36.99414 99.68567 28.45683 129.59228
## 2021.6411 57.89103 35.21346 95.17303 27.06554 123.82428
## 2021.6438 60.30451 36.62659 99.28946 28.12937 129.28245
## 2021.6466 64.95588 39.39276 107.10768 30.22989 139.57270
## 2021.6493 53.83268 32.59845 88.89861 24.99624 115.93572
## 2021.6521 49.92441 30.18694 82.56707 23.12892 107.76323
## 2021.6548 50.19708 30.30690 83.14104 23.20264 108.59743
## 2021.6575 55.00951 33.16344 91.24643 25.36975 119.27774
## 2021.6603 56.40176 33.95277 93.69364 25.95334 122.57222
## 2021.6630 61.82053 37.16018 102.84604 28.38301 134.65018
## 2021.6658 63.96493 38.39294 106.56937 29.30189 139.63306
## 2021.6685 56.55375 33.89512 94.35951 25.84912 123.73058
## 2021.6712 63.56377 38.04113 106.21012 28.98861 139.37723
## 2021.6740 49.44742 29.54998 82.74278 22.50078 108.66499
## 2021.6767 41.80321 24.94564 70.05265 18.98028 92.06971
## 2021.6795 45.10480 26.87702 75.69451 20.43418 99.56079
## 2021.6822 50.50187 30.04975 84.87387 22.82896 111.71945
## 2021.6849 50.19460 29.82410 84.47862 22.64032 111.28368
## 2021.6877 54.58355 32.38549 91.99686 24.56613 121.27931
## 2021.6904 45.14639 26.74804 76.19985 20.27450 100.53005
## 2021.6932 49.27891 29.15492 83.29333 22.08223 109.97127
## 2021.6959 45.44995 26.85145 76.93058 20.32228 101.64694
## 2021.6986 60.10919 35.46177 101.88758 26.81882 134.72309
## 2021.7014 68.53480 40.37547 116.33347 30.51211 153.93948
## 2021.7041 59.45764 34.97861 101.06777 26.41396 133.83871
## 2021.7068 44.90662 26.38125 76.44082 19.90689 101.30182
## 2021.7096 50.93889 29.88314 86.83059 22.53265 115.15602
## 2021.7123 50.78720 29.75256 86.69303 22.41761 115.05865
## 2021.7151 56.18382 32.86822 96.03870 24.74690 127.55624
## 2021.7178 59.03243 34.48674 101.04835 25.94641 134.30870
## 2021.7205 67.44660 39.34772 115.61139 29.58189 153.77799
## 2021.7233 63.89489 37.22418 109.67487 27.96493 145.98847
## 2021.7260 57.56256 33.48885 98.94184 25.14037 131.79789
## 2021.7288 61.83734 35.92638 106.43588 26.95062 141.88379
## 2021.7315 56.34255 32.68913 97.11128 24.50435 129.54774
## 2021.7342 59.87933 34.69360 103.34857 25.98810 137.96829
## 2021.7370 53.57029 30.99585 92.58581 23.20144 123.68957
## 2021.7397 68.69285 39.69170 118.88399 29.68916 158.93703
## 2021.7425 58.95674 34.01979 102.17279 25.42832 136.69396
## 2021.7452 56.10180 32.32857 97.35699 24.14688 130.34450
## 2021.7479 55.74613 32.08022 96.87062 23.94424 129.78617
## 2021.7507 58.13701 33.41102 101.16159 24.91973 135.63195
## 2021.7534 61.91646 35.53522 107.88308 26.48521 144.74679
## 2021.7562 65.14307 37.33690 113.65752 27.80828 152.60273
## 2021.7589 65.41755 37.44406 114.28931 27.86833 153.55978
## 2021.7616 61.79191 35.32159 108.09931 26.27008 145.34559
## 2021.7644 57.25065 32.68214 100.28832 24.28987 134.93841
## 2021.7671 61.89882 35.28866 108.57493 26.20863 146.19090
## 2021.7699 58.33552 33.21314 102.46043 24.64985 138.05489
## 2021.7726 60.82222 34.58316 106.96947 25.64867 144.23134
## 2021.7753 62.35931 35.41037 109.81764 26.24384 148.17513
## 2021.7781 60.84373 34.50430 107.28981 25.55449 144.86531
## 2021.7808 70.16837 39.74003 123.89523 29.41171 167.40273
## 2021.7836 60.19786 34.04855 106.42984 25.18195 143.90394
## 2021.7863 61.30784 34.63106 108.53413 25.59504 146.85076
## 2021.7890 60.35785 34.04998 106.99185 25.14821 144.86401
## 2021.7918 58.75919 33.10500 104.29368 24.43343 141.30811
## 2021.7945 57.93955 32.60084 102.97252 24.04480 139.61402
## 2021.7973 51.42182 28.89604 91.50745 21.29770 124.15438
## 2021.8000 54.62466 30.65619 97.33281 22.57956 132.14846
## 2021.8027 47.64967 26.70725 85.01404 19.65756 115.50215
## 2021.8055 45.96875 25.73196 82.12066 18.92681 111.64718
## 2021.8082 47.87531 26.76480 85.63654 19.67313 116.50638
## 2021.8110 65.14675 36.37380 116.68012 26.71797 158.84812
## 2021.8137 60.56773 33.77395 108.61773 24.79150 147.97213
## 2021.8164 76.54817 42.63058 137.45113 31.27150 187.37897
## 2021.8192 64.02708 35.61208 115.11453 26.10550 157.03459
## 2021.8219 70.44053 39.12952 126.80628 28.66469 173.10037
## 2021.8247 65.67353 36.43525 118.37474 26.67307 161.69914
## 2021.8274 63.38765 35.12260 114.39910 25.69492 156.37312
## 2021.8301 65.86431 36.44887 119.01900 26.64737 162.79683
## 2021.8329 64.38333 35.58445 116.48944 25.99807 159.44311
## 2021.8356 49.60079 27.37976 89.85609 19.99040 123.07099
## 2021.8384 57.44346 31.66919 104.19436 23.10684 142.80412
## 2021.8411 63.52165 34.97636 115.36364 25.50295 158.21701
## 2021.8438 54.55945 30.00409 99.21093 21.86296 136.15414
## 2021.8466 60.38010 33.16370 109.93213 24.14933 150.96717
## 2021.8493 62.32007 34.18669 113.60539 24.87787 156.11432
## 2021.8521 63.61405 34.85323 116.10824 25.34626 159.65856
## 2021.8548 66.48163 36.37925 121.49253 26.43868 167.17198
## 2021.8575 75.63534 41.33710 138.39152 30.02216 190.54939
## 2021.8603 63.28141 34.54265 115.93019 25.07113 159.72696
## 2021.8630 63.02850 34.36227 115.60911 24.92397 159.38841
## 2021.8658 54.36559 29.60298 99.84188 21.45796 137.73993
## 2021.8685 62.86117 34.18703 115.58554 24.76466 159.56312
## 2021.8712 73.37182 39.85445 135.07712 28.85138 186.59161
## 2021.8740 61.64098 33.44157 113.61936 24.19333 157.05197
## 2021.8767 74.40260 40.31587 137.30939 29.14773 189.92033
## 2021.8795 63.28793 34.25158 116.93951 24.74741 161.84978
## 2021.8822 58.93924 31.85936 109.03653 23.00420 151.00870
## 2021.8849 68.53235 37.00002 126.93731 26.69891 175.91293
## 2021.8877 60.51165 32.63024 112.21677 23.53064 155.61240
## 2021.8904 65.56680 35.31353 121.73819 25.44938 168.92376
## 2021.8932 63.99660 34.42635 118.96599 24.79421 165.18234
## 2021.8959 53.06692 28.51254 98.76701 20.52196 137.22367
## 2021.8986 42.64293 22.88432 79.46137 16.46058 110.47118
## 2021.9014 52.72443 28.26069 98.36508 20.31489 136.83878
## 2021.9041 42.02115 22.49675 78.49031 16.16132 109.25946
## 2021.9068 50.04645 26.76129 93.59216 19.21276 130.36371
## 2021.9096 45.66676 24.39029 85.50342 17.49951 119.17206
## 2021.9123 46.95413 25.04808 88.01834 17.96016 122.75448
## 2021.9151 58.10784 30.96138 109.05590 22.18622 152.18998
## 2021.9178 51.79408 27.56459 97.32149 19.73979 135.89948
## 2021.9205 64.81459 34.45331 121.93112 24.65757 170.37085
## 2021.9233 60.40633 32.07218 113.77228 22.93911 159.07002
## 2021.9260 65.06468 34.50484 122.69041 24.66366 171.64578
## 2021.9288 62.66178 33.19152 118.29825 23.71016 165.60407
## 2021.9315 69.60153 36.82424 131.55391 26.28884 184.27486
## 2021.9342 71.36634 37.71377 135.04761 26.90720 189.28595
## 2021.9370 63.42666 33.47888 120.16357 23.87101 168.52834
## 2021.9397 61.37281 32.35701 116.40820 23.05686 163.36232
## 2021.9425 64.60692 34.02247 122.68522 24.22868 172.27738
## 2021.9452 56.08338 29.49960 106.62331 20.99486 149.81502
## 2021.9479 61.06539 32.08288 116.22966 22.81936 163.41310
## 2021.9507 67.79454 35.57705 129.18720 25.28913 181.74214
## 2021.9534 75.21388 39.42495 143.49104 28.00717 201.98852
## 2021.9562 74.69106 39.10576 142.65815 27.76346 200.93879
## 2021.9589 67.48062 35.28994 129.03491 25.03911 181.86086
## 2021.9616 65.20756 34.06202 124.83187 24.15317 176.04424
## 2021.9644 79.35057 41.40226 152.08139 29.34025 214.60325
## 2021.9671 70.51840 36.75182 135.30880 26.02886 191.05116
## 2021.9699 67.52269 35.15033 129.70899 24.87957 183.25536
## 2021.9726 75.90537 39.46902 145.97843 27.91948 206.36583
## 2021.9753 63.71943 33.09487 122.68262 23.39643 173.53783
## 2021.9781 56.16097 29.13596 108.25299 20.58527 153.21899
## 2021.9808 59.03766 30.59360 113.92727 21.60214 161.34723
## 2021.9836 45.86541 23.74074 88.60868 16.75328 125.56563
## 2021.9863 29.84968 15.43324 57.73276 10.88435 81.86100
## 2021.9890 29.54291 15.25738 57.20403 10.75389 81.15982
## 2021.9918 41.58535 21.45246 80.61271 15.11135 114.43987Time Series Forecast of Daily Crashes (Without Pandemic Data)
HoltWinters Forecast and Time Series (Without Pandemic Data)
noncovid <- HoltWinters(crashests.noncovid)
summary(noncovid)## Length Class Mode
## fitted 6076 mts numeric
## x 1884 ts numeric
## alpha 1 -none- numeric
## beta 1 -none- numeric
## gamma 1 -none- numeric
## coefficients 367 -none- numeric
## seasonal 1 -none- character
## SSE 1 -none- numeric
## call 2 -none- callplot(fitted(noncovid), main = "Box Jenkins Decomposition of Daily Crashes (Without Pandemic Data)") 
fcast.noncovid <- forecast(noncovid, 700)
summary(fcast)##
## Forecast method: HoltWinters
##
## Model Information:
## Holt-Winters exponential smoothing with trend and additive seasonal component.
##
## Call:
## HoltWinters(x = crashests2)
##
## Smoothing parameters:
## alpha: 0.08077377
## beta : 0
## gamma: 0.5202656
##
## Coefficients:
## [,1]
## a 50.54984009
## b 0.01038832
## s1 -6.23449175
## s2 -1.93564335
## s3 2.86487713
## s4 3.28987252
## s5 18.74605442
## s6 11.34313976
## s7 10.93677566
## s8 -2.05767179
## s9 1.10585292
## s10 2.12610252
## s11 2.85764739
## s12 2.56818547
## s13 1.44799761
## s14 -0.22202840
## s15 -6.64149445
## s16 11.21950926
## s17 2.33492289
## s18 -3.81325334
## s19 -12.43592667
## s20 -8.82891425
## s21 -6.98425032
## s22 -18.59843672
## s23 -4.28591066
## s24 3.00785928
## s25 6.65753804
## s26 0.46225594
## s27 10.73197209
## s28 5.46095777
## s29 -1.34256568
## s30 -3.26511301
## s31 -0.93528345
## s32 -2.46074674
## s33 1.54812218
## s34 -13.16233602
## s35 -14.81325852
## s36 -15.65407423
## s37 -10.94124296
## s38 -8.23887077
## s39 0.09667156
## s40 -2.79874332
## s41 14.35529063
## s42 -2.87078344
## s43 -10.64056090
## s44 -3.07418243
## s45 3.58884162
## s46 5.78232493
## s47 -7.75697781
## s48 11.82025001
## s49 1.81002608
## s50 -10.60009088
## s51 -7.48194865
## s52 -5.95450286
## s53 -2.11306421
## s54 -0.10492356
## s55 5.51864882
## s56 1.43270639
## s57 -14.98387363
## s58 -10.19643554
## s59 4.61816393
## s60 -1.53538748
## s61 -8.78850745
## s62 1.36509713
## s63 -8.39174391
## s64 3.60307440
## s65 -11.25208893
## s66 -1.31340652
## s67 -4.61503589
## s68 -2.66794678
## s69 3.56482888
## s70 8.40970924
## s71 -4.16925423
## s72 -8.83976312
## s73 -9.81868936
## s74 1.40258791
## s75 -2.88439542
## s76 -0.84655366
## s77 3.99764272
## s78 -5.75316399
## s79 -6.24224007
## s80 6.39625666
## s81 3.54658925
## s82 5.73704838
## s83 7.75176805
## s84 7.56696843
## s85 -10.11964997
## s86 -9.96441055
## s87 -3.23972507
## s88 -4.70034794
## s89 1.20269853
## s90 8.71712990
## s91 7.83078519
## s92 -7.95706133
## s93 5.56955590
## s94 -8.32756005
## s95 -4.66652660
## s96 2.96646219
## s97 3.31559968
## s98 -11.95260985
## s99 -10.18398290
## s100 -20.82118897
## s101 -8.22737899
## s102 -14.29541896
## s103 11.81983300
## s104 22.42320993
## s105 2.06135988
## s106 -14.67607014
## s107 -7.58268340
## s108 -3.17511188
## s109 5.27828903
## s110 14.20250750
## s111 11.39954055
## s112 3.59972812
## s113 -5.09169713
## s114 0.65032801
## s115 1.60533792
## s116 4.01954729
## s117 -5.51861598
## s118 21.63521717
## s119 0.29203380
## s120 -6.79267595
## s121 -1.12515999
## s122 2.32044763
## s123 8.59125612
## s124 13.00073898
## s125 11.83719191
## s126 4.18327384
## s127 -3.45440626
## s128 4.48522046
## s129 4.26506407
## s130 7.41325466
## s131 7.21693533
## s132 6.54430396
## s133 16.01006604
## s134 1.62241040
## s135 8.06820807
## s136 5.96081224
## s137 8.83833826
## s138 8.72985950
## s139 -7.86239803
## s140 0.77833533
## s141 -4.55359983
## s142 -8.08896614
## s143 -2.65142054
## s144 21.48204145
## s145 13.54022630
## s146 32.81280146
## s147 12.13861445
## s148 16.76408889
## s149 11.00514208
## s150 11.97777356
## s151 10.23097784
## s152 16.97105275
## s153 -4.06605961
## s154 5.16193255
## s155 8.51991802
## s156 -0.33877794
## s157 16.56480186
## s158 19.91815994
## s159 16.06335580
## s160 19.93619458
## s161 23.61266969
## s162 6.34656318
## s163 12.27984110
## s164 3.74073120
## s165 28.19571659
## s166 34.27865794
## s167 7.93572720
## s168 20.14784906
## s169 2.67768830
## s170 3.39915036
## s171 14.15285244
## s172 7.56542560
## s173 13.07838148
## s174 11.78106310
## s175 2.84385148
## s176 -12.46781771
## s177 3.38628760
## s178 -5.86384012
## s179 -1.85297347
## s180 -12.12571278
## s181 -15.38396317
## s182 -6.88497127
## s183 -10.79117418
## s184 8.42295365
## s185 3.81777322
## s186 14.41968988
## s187 8.71937536
## s188 13.35241398
## s189 12.14044801
## s190 0.89757331
## s191 3.81503990
## s192 11.53740048
## s193 3.06070657
## s194 9.55270876
## s195 15.17009463
## s196 19.36697114
## s197 13.65442119
## s198 17.72223523
## s199 12.24465311
## s200 22.60889814
## s201 18.15173022
## s202 15.46082898
## s203 16.31807653
## s204 -1.62684658
## s205 -2.91058814
## s206 4.64985434
## s207 -1.73788437
## s208 -11.88671191
## s209 -34.55434101
## s210 -18.85992119
## s211 -25.35411731
## s212 -18.09027336
## s213 -16.49955352
## s214 -11.43239810
## s215 -5.21188327
## s216 -21.49149913
## s217 -12.18677393
## s218 -9.35611599
## s219 -7.94366243
## s220 -7.44240524
## s221 0.61005315
## s222 -5.27741616
## s223 -3.12180648
## s224 -2.11230701
## s225 -15.16755451
## s226 -14.79396671
## s227 1.16218679
## s228 -8.50231630
## s229 -7.42278686
## s230 7.40925711
## s231 2.93635347
## s232 -14.99553722
## s233 -17.45147372
## s234 -11.06836096
## s235 -12.28925461
## s236 -15.15928552
## s237 -1.17423487
## s238 3.93826589
## s239 -12.91207270
## s240 -13.98285601
## s241 -3.94134772
## s242 -1.96363600
## s243 -8.68689640
## s244 -3.20291537
## s245 -1.32066330
## s246 -8.48049415
## s247 -14.53117625
## s248 -11.89676528
## s249 -10.12810557
## s250 -3.07357242
## s251 11.47852808
## s252 -7.71611094
## s253 -14.69555089
## s254 -9.65066889
## s255 -14.10449131
## s256 -4.44297173
## s257 -3.64289585
## s258 10.80472876
## s259 12.07604009
## s260 -9.43646956
## s261 -4.34013392
## s262 -6.86101681
## s263 -2.05890940
## s264 -11.35362995
## s265 1.02173269
## s266 -16.46138754
## s267 -17.05526062
## s268 -1.03786754
## s269 -2.51305778
## s270 6.67938413
## s271 -4.27375956
## s272 11.61766310
## s273 -7.25976929
## s274 -4.46956094
## s275 -10.63323503
## s276 -7.32952420
## s277 7.12042706
## s278 -4.86888235
## s279 0.79707701
## s280 -5.89717718
## s281 -16.58973965
## s282 -7.14488850
## s283 -15.58062231
## s284 -20.36239502
## s285 -17.89649144
## s286 -19.71531297
## s287 -8.87619104
## s288 -18.66001649
## s289 -1.80762526
## s290 0.50015895
## s291 -3.95486869
## s292 -3.34882589
## s293 2.21324366
## s294 6.90389151
## s295 -4.39108294
## s296 -6.09735957
## s297 -11.77800237
## s298 -1.97232884
## s299 -9.65212348
## s300 0.11349890
## s301 1.18379416
## s302 -10.76519132
## s303 -4.16288539
## s304 -3.10285789
## s305 -9.23177797
## s306 -0.12151806
## s307 -3.40646565
## s308 -11.35257966
## s309 -6.39960971
## s310 -9.52654032
## s311 -5.51393075
## s312 0.83619338
## s313 -4.08983296
## s314 3.67275951
## s315 -0.08242832
## s316 -12.08616682
## s317 2.91680294
## s318 -3.93073306
## s319 -8.01971128
## s320 -3.40881117
## s321 4.54358359
## s322 -5.00718868
## s323 -10.91502771
## s324 -12.84374924
## s325 -23.01612327
## s326 -6.65628934
## s327 2.48354832
## s328 -4.64843499
## s329 -1.78470180
## s330 -10.43432871
## s331 -5.49469424
## s332 -17.46183832
## s333 -22.90502577
## s334 2.62847601
## s335 23.01676905
## s336 18.48824973
## s337 -0.75629702
## s338 2.47486703
## s339 2.48665606
## s340 6.42353251
## s341 6.42197949
## s342 6.95522618
## s343 16.83360143
## s344 -8.53275817
## s345 0.12797564
## s346 0.35957591
## s347 2.53313484
## s348 1.97810544
## s349 9.34497032
## s350 -10.99416861
## s351 -13.63501980
## s352 -0.09250644
## s353 -8.96483344
## s354 -19.44184440
## s355 3.88194873
## s356 18.69262114
## s357 8.90101823
## s358 0.69664597
## s359 8.44883556
## s360 -2.98276569
## s361 -8.78553384
## s362 13.64601424
## s363 12.00914555
## s364 4.37740181
## s365 -6.88997498
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set -0.2337277 19.34958 14.47599 -8.894566 27.82532 0.7206301 0.127432
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## 2021.4192 44.32574 19.5237851 69.12769 6.39442496 82.25705
## 2021.4219 48.63497 23.7522444 73.51770 10.58012330 86.68982
## 2021.4247 53.44588 28.4826371 78.40913 15.26789347 91.62387
## 2021.4274 53.88127 28.8377637 78.92477 15.58053444 92.18200
## 2021.4301 69.34784 44.2243331 94.47134 30.92475401 107.77092
## 2021.4329 61.95531 36.7520599 87.15856 23.41026540 100.50035
## 2021.4356 61.55933 36.2765888 86.84208 22.89271204 100.22596
## 2021.4384 48.57527 23.2132836 73.93727 9.78745640 87.36309
## 2021.4411 51.74919 26.3081973 77.19018 12.84055044 90.65783
## 2021.4438 52.77983 27.2600805 78.29957 13.75074337 91.80891
## 2021.4466 53.52176 27.9235012 79.12002 14.37260213 92.67092
## 2021.4493 53.24269 27.5661552 78.91922 13.97382125 92.51155
## 2021.4521 52.13289 26.3783212 77.88745 12.74467824 91.52109
## 2021.4548 50.47325 24.6408847 76.30561 10.96605760 89.98044
## 2021.4575 44.06417 18.1542418 69.97410 4.43835417 83.68999
## 2021.4603 61.93556 35.9483002 87.92282 22.19147458 101.67965
## 2021.4630 53.06136 26.9969979 79.12573 13.19935582 92.92337
## 2021.4658 46.92358 20.7823332 73.06482 6.94399500 86.90316
## 2021.4685 38.31129 12.0933969 64.52919 -1.78551817 78.40810
## 2021.4712 41.92869 15.6343697 68.22301 1.71499615 82.14239
## 2021.4740 43.78374 17.4132155 70.15427 3.45350074 84.11399
## 2021.4767 32.17995 5.7334306 58.62646 -8.26650917 72.62640
## 2021.4795 46.50286 19.9805758 73.02515 5.94052634 87.06520
## 2021.4822 53.80702 27.2091808 80.40486 13.12913583 94.48490
## 2021.4849 57.46709 30.7939086 84.14026 16.67398142 98.26019
## 2021.4877 51.28219 24.5338878 78.03050 10.37419070 92.19019
## 2021.4904 61.56230 34.7390756 88.38552 20.53972002 102.58487
## 2021.4932 56.30167 29.4037416 83.19960 15.16483800 97.43850
## 2021.4959 49.50854 22.5361054 76.48097 8.25776331 90.75931
## 2021.4986 47.59638 20.5496505 74.64310 6.23197858 88.96077
## 2021.5014 49.93659 22.8157760 77.05741 8.45888202 91.41431
## 2021.5041 48.42152 21.2268106 75.61623 6.83080132 90.01224
## 2021.5068 52.44078 25.1723776 79.70918 10.73735906 94.14419
## 2021.5096 37.74071 10.3988161 65.08260 -4.07510658 79.55652
## 2021.5123 36.10017 8.6849873 63.51536 -5.82773522 78.02808
## 2021.5151 35.26975 7.7814607 62.75803 -6.76995819 77.30945
## 2021.5178 39.99296 12.4317749 67.55415 -2.15823768 82.14417
## 2021.5205 42.70573 15.0718225 70.33963 0.44331793 84.96813
## 2021.5233 51.05166 23.3452310 78.75808 8.67833551 93.42498
## 2021.5260 48.16663 20.3878716 75.94539 5.68268545 90.65057
## 2021.5288 65.33105 37.4801489 93.18195 22.73677152 107.92533
## 2021.5315 48.11537 20.1925046 76.03823 5.41103466 90.81970
## 2021.5342 40.35598 12.3613418 68.35061 -2.45812272 83.17008
## 2021.5370 47.93274 19.8665186 75.99897 5.00915653 90.85633
## 2021.5397 54.60616 26.4685230 82.74379 11.57335994 97.63895
## 2021.5425 56.81003 28.6011675 85.01889 13.66829905 99.95176
## 2021.5452 43.28111 15.0012053 71.56102 0.03072647 86.53150
## 2021.5479 62.86873 34.5179518 91.21951 19.50995677 106.22750
## 2021.5507 52.86889 24.4474232 81.29036 9.40200556 96.33578
## 2021.5534 40.46917 11.9771770 68.96115 -3.10557042 84.04390
## 2021.5562 43.59770 15.0353640 72.16003 -0.08462094 87.28001
## 2021.5589 45.13553 16.5030275 73.76803 1.34589639 88.92516
## 2021.5616 48.98736 20.2848553 77.68986 5.09066894 92.88404
## 2021.5644 51.00589 22.2335555 79.77822 7.00240395 95.00937
## 2021.5671 56.63985 27.7978564 85.48184 12.52982923 100.74986
## 2021.5699 52.56429 23.6528104 81.47577 8.34799640 96.78059
## 2021.5726 36.15810 7.1772934 65.13891 -8.16421918 80.48042
## 2021.5753 40.95593 11.9059599 70.00589 -3.47216364 85.38402
## 2021.5781 55.78091 26.6619521 84.89988 11.24730450 100.31452
## 2021.5808 49.63775 20.4499565 78.82555 4.99887119 94.27663
## 2021.5836 42.39502 13.1385543 71.65149 -2.34888300 87.13892
## 2021.5863 52.55901 23.2340375 81.88399 7.71033328 97.40769
## 2021.5890 42.81256 13.4192347 72.20589 -2.14065185 87.76577
## 2021.5918 54.81777 25.3562498 84.27928 9.76026488 99.87527
## 2021.5945 39.97299 10.4434408 69.50254 -5.18855919 85.13454
## 2021.5973 49.92206 20.3246339 79.51949 4.65670165 95.18742
## 2021.6000 46.63082 16.9656705 76.29597 1.26188824 91.99975
## 2021.6027 48.58830 18.8555799 78.32102 3.11602922 94.06057
## 2021.6055 54.83146 25.0313290 84.63160 9.25609105 100.40683
## 2021.6082 59.68673 29.8193349 89.55413 14.00849029 105.36497
## 2021.6110 47.11816 17.1836482 77.05266 1.33727685 92.89904
## 2021.6137 42.45804 12.4565662 72.45951 -3.42525241 88.34132
## 2021.6164 41.48950 11.4212159 71.55778 -4.49597097 87.47497
## 2021.6192 52.72116 22.5862173 82.85611 6.63374054 98.80859
## 2021.6219 48.44457 18.2431053 78.64603 2.25541648 94.63372
## 2021.6247 50.49280 20.2249645 80.76063 4.20214107 96.78346
## 2021.6274 55.34738 25.0133236 85.68144 8.95544239 101.73932
## 2021.6301 45.60696 15.2068238 76.00711 -0.88603875 92.09997
## 2021.6329 45.12828 14.6621980 75.59436 -1.46557005 91.72212
## 2021.6356 57.77716 27.2452874 88.30904 11.08268924 104.47163
## 2021.6384 54.93788 24.3403541 85.53541 8.14300078 101.73277
## 2021.6411 57.13873 26.4756880 87.80177 10.24365384 104.03381
## 2021.6438 59.16384 28.4354221 89.89225 12.16878106 106.15890
## 2021.6466 58.98943 28.1957756 89.78308 11.89460125 106.08425
## 2021.6493 41.31320 10.4544483 72.17195 -5.88118643 88.50758
## 2021.6521 41.47882 10.5551159 72.40253 -5.81490672 88.77256
## 2021.6548 48.21390 17.2253657 79.20243 0.82102731 95.60677
## 2021.6575 46.76366 15.7104424 77.81689 -0.72814005 94.25547
## 2021.6603 52.67710 21.5593230 83.79487 5.08656759 100.26763
## 2021.6630 60.20192 29.0197221 91.38411 12.51286452 107.89097
## 2021.6658 59.32596 28.0794780 90.57245 11.53858849 107.11334
## 2021.6685 43.54850 12.2378640 74.85914 -4.33698747 91.43400
## 2021.6712 57.08551 25.7108450 88.46017 9.10210095 105.06892
## 2021.6740 43.19878 11.7602232 74.63734 -4.88234441 91.27991
## 2021.6767 46.87020 15.3678804 78.37253 -1.30844217 95.04885
## 2021.6795 54.51358 22.9476217 86.07954 6.23761240 102.78955
## 2021.6822 54.87311 23.2436397 86.50257 6.50001148 103.24620
## 2021.6849 39.61529 7.9224380 71.30813 -8.85474184 88.08531
## 2021.6877 41.39430 9.6381993 73.15040 -7.17246521 89.96107
## 2021.6904 30.76748 -1.0517467 62.58671 -17.89582930 79.43079
## 2021.6932 43.37168 11.4894483 75.25391 -5.38798617 92.13135
## 2021.6959 37.31403 5.3689177 69.25914 -11.54180295 86.16986
## 2021.6986 63.43967 31.4318025 95.44754 14.48786110 112.39148
## 2021.7014 74.05343 41.9829350 106.12393 25.00583795 123.10103
## 2021.7041 53.70197 21.5689627 85.83498 4.55877450 102.84517
## 2021.7068 36.97493 4.7795318 69.17033 -12.26368328 86.21355
## 2021.7096 44.07871 11.8210383 76.33637 -5.25513977 93.41255
## 2021.7123 48.49667 16.1768495 80.81648 -0.93222800 97.92556
## 2021.7151 56.96046 24.5786094 89.34230 7.43669558 106.48422
## 2021.7178 65.89506 33.4513055 98.33882 16.27661810 115.51351
## 2021.7205 63.10248 30.5969341 95.60803 13.38953552 112.81543
## 2021.7233 55.31306 22.7458344 87.88028 5.50578679 105.12033
## 2021.7260 46.63202 14.0032385 79.26081 -3.26939647 96.53344
## 2021.7288 52.38444 19.6942089 85.07466 2.38904794 102.37982
## 2021.7315 53.34983 20.5982793 86.10139 3.26065341 103.43902
## 2021.7342 55.77443 22.9616639 88.58720 5.59163365 105.95723
## 2021.7370 46.24666 13.3727897 79.12052 -4.02958444 96.52290
## 2021.7397 73.41088 40.4760254 106.34573 23.04136724 123.78039
## 2021.7425 52.07808 19.0823572 85.07381 1.61547480 102.54069
## 2021.7452 45.00376 11.9472747 78.06025 -5.55177259 95.55930
## 2021.7479 50.68167 17.5645295 83.79880 0.03337622 101.32996
## 2021.7507 54.13766 20.9599868 87.31534 3.39678626 104.87854
## 2021.7534 60.41886 27.1807552 93.65696 9.58556579 111.25215
## 2021.7562 64.83873 31.5403076 98.13715 13.91318742 115.76427
## 2021.7589 63.68557 30.3269392 97.04420 12.66794591 114.70320
## 2021.7616 56.04204 22.6233082 89.46078 4.93249931 107.15158
## 2021.7644 48.41475 14.9360231 81.89348 -2.78654431 99.61604
## 2021.7671 56.36476 22.8261522 89.90338 5.07188301 107.65765
## 2021.7699 56.15500 22.5566049 89.75339 4.77069046 107.53930
## 2021.7726 59.31358 25.6555107 92.97164 7.83800728 110.78914
## 2021.7753 59.12764 25.4100122 92.84528 7.56097569 110.69431
## 2021.7781 58.46540 24.6883067 92.24250 6.80779271 110.12301
## 2021.7808 67.94155 34.1050992 101.77801 16.19316301 119.68994
## 2021.7836 53.56428 19.6685779 87.45999 1.72527455 105.40330
## 2021.7863 60.02047 26.0656133 93.97533 8.09099755 111.94994
## 2021.7890 57.92346 23.9095581 91.93737 5.90368436 109.94324
## 2021.7918 60.81138 26.7385271 94.88423 8.70144952 112.92131
## 2021.7945 60.71329 26.5815930 94.84498 8.51336558 112.91321
## 2021.7973 44.13142 9.9409815 78.32185 -8.15834224 96.42118
## 2021.8000 52.78254 18.5334616 87.03162 0.40309492 105.16198
## 2021.8027 47.46099 13.1533735 81.76861 -5.00798315 99.92997
## 2021.8055 43.93601 9.5699539 78.30208 -8.62233986 96.49437
## 2021.8082 49.38395 14.9595454 83.80835 -3.26363291 102.03153
## 2021.8110 73.52780 39.0451521 108.01045 20.79114139 126.26446
## 2021.8137 65.59637 31.0555798 100.13716 12.77078875 118.42196
## 2021.8164 84.87934 50.2804955 119.47818 31.96497586 137.79370
## 2021.8192 64.21554 29.5587463 98.87233 11.21254950 117.21852
## 2021.8219 68.85140 34.1367553 103.56604 15.75993254 121.94287
## 2021.8247 63.10284 28.3304392 97.87524 9.92304154 116.28264
## 2021.8274 64.08586 29.2557973 98.91592 10.81787531 117.35385
## 2021.8301 62.34945 27.4618234 97.23708 8.99342762 115.70548
## 2021.8329 69.09992 34.1548151 104.04502 15.65599561 122.54384
## 2021.8356 48.07319 13.0707138 83.07567 -5.45847936 101.60486
## 2021.8384 57.31157 22.2518109 92.37134 3.69229380 110.93085
## 2021.8411 60.67995 25.5629948 95.79690 6.97320318 114.38669
## 2021.8438 51.83164 16.6575902 87.00569 -1.96242667 105.62571
## 2021.8466 68.74561 33.5145540 103.97666 14.86436077 122.62685
## 2021.8493 72.10935 36.8213880 107.39732 18.14106730 126.07764
## 2021.8521 68.26494 32.9201516 103.60972 14.20975178 122.32012
## 2021.8548 72.14817 36.7466492 107.54968 18.00621865 126.29011
## 2021.8575 75.83503 40.3768739 111.29318 21.60646067 130.06360
## 2021.8603 58.57931 23.0646074 94.09401 4.26425920 112.89436
## 2021.8630 64.52298 28.9518151 100.09414 10.12157965 118.92437
## 2021.8658 55.99426 20.3667245 91.62179 1.50664910 110.48186
## 2021.8685 80.45963 44.7758183 116.14344 25.88595004 135.03331
## 2021.8712 86.55296 50.8129566 122.29296 31.89334247 141.21257
## 2021.8740 60.22042 24.4243111 96.01652 5.47499771 114.96583
## 2021.8767 72.44293 36.5908059 108.29505 17.61183981 127.27401
## 2021.8795 54.98315 19.0751055 90.89120 0.06653295 109.89977
## 2021.8822 55.71500 19.7511149 91.67889 0.71298191 110.71703
## 2021.8849 66.47909 30.4594509 102.49874 11.39180329 121.56639
## 2021.8877 59.90206 23.8267441 95.97737 4.72962753 115.07448
## 2021.8904 65.42540 29.2945058 101.55629 10.16796567 120.68283
## 2021.8932 64.13847 27.9520787 100.32486 8.79616012 119.48078
## 2021.8959 55.21165 18.9698432 91.45345 -0.21540870 110.63870
## 2021.8986 39.91037 3.6132348 76.20750 -15.60130573 95.42204
## 2021.9014 55.77486 19.4224851 92.12723 0.17870054 111.37102
## 2021.9041 46.53512 10.1275863 82.94265 -9.14539802 102.21564
## 2021.9068 50.55638 14.0937652 87.01899 -5.20837461 106.32112
## 2021.9096 40.29402 3.7764212 76.81163 -15.55483011 96.14288
## 2021.9123 37.04616 0.4736488 73.61868 -18.88667022 92.97899
## 2021.9151 45.55554 8.9282011 82.18288 -10.46114216 101.57223
## 2021.9178 41.65973 4.9776405 78.34181 -14.44068356 97.76014
## 2021.9205 60.88424 24.1474922 97.62100 4.70023053 117.06826
## 2021.9233 56.28945 19.4981168 93.08079 0.02196059 112.55694
## 2021.9260 66.90176 30.0559194 103.74759 10.55091140 123.25260
## 2021.9288 61.21183 24.3115714 98.11209 4.77775415 117.64591
## 2021.9315 65.85526 28.9006566 102.80986 9.33807261 122.37244
## 2021.9342 64.65368 27.6448170 101.66254 8.05350851 121.25385
## 2021.9370 53.42119 16.3581482 90.48424 -3.26184283 110.10423
## 2021.9397 56.34905 19.2318997 93.46620 -0.41673191 113.11483
## 2021.9425 64.08180 26.9106240 101.25297 7.23339344 120.93020
## 2021.9452 55.61549 18.3903721 92.84061 -1.31541580 112.54640
## 2021.9479 62.11788 24.8388945 99.39687 5.10459046 119.13117
## 2021.9507 67.74566 30.4128782 105.07843 10.65009927 124.84121
## 2021.9534 71.95292 34.5664300 109.33941 14.77521708 129.13063
## 2021.9562 66.25076 28.8106324 103.69089 8.99102628 123.51049
## 2021.9589 70.32896 32.8352755 107.82265 12.98731682 127.67061
## 2021.9616 64.86177 27.3145988 102.40894 7.43832804 122.28521
## 2021.9644 75.23640 37.6358254 112.83698 17.73128276 132.74152
## 2021.9671 70.78962 33.1357147 108.44353 13.20294037 128.37630
## 2021.9699 68.10911 30.4019462 105.81627 10.44098002 125.77724
## 2021.9726 68.97674 31.2164016 106.73709 11.22728334 126.72621
## 2021.9753 51.04221 13.2287611 88.85566 -6.78846963 108.87289
## 2021.9781 49.76886 11.9023766 87.63534 -8.14292714 107.68064
## 2021.9808 57.33969 19.4202503 95.25912 -0.65308719 115.33246
## 2021.9836 50.96234 12.9900167 88.93466 -7.11131547 109.03599
## 2021.9863 40.82390 2.7987678 78.84903 -17.33052009 98.97832
## 2021.9890 18.16666 -19.9112094 56.24452 -40.06841427 76.40173
## 2021.9918 33.87147 -4.2590647 72.00200 -24.44414799 92.18708autoplot(fcast.noncovid) +
ggtitle("Forecasts of Daily Car Crashes Using HoltWinters (Without Pandemic Data)") +
xlab("Year") + ylab("Crashes")
STLF Forecast and Time Series (Without Pandemic Data)
crashests.noncovid %>% mstl() %>%
autoplot()
p <- crashests.noncovid %>%
stlf(lambda = 0, h = 700)
p %>%
autoplot() +
ggtitle("Seasonal and Trend Decomposition Using Loess Forecasting Model for Daily Car Crashes (Without Pandemic Data)") +
xlab("Year") + ylab("Daily Crashes")
p %>% summary()##
## Forecast method: STL + ETS(A,A,N)
##
## Model Information:
## ETS(A,A,N)
##
## Call:
## ets(y = na.interp(x), model = etsmodel, allow.multiplicative.trend = allow.multiplicative.trend)
##
## Smoothing parameters:
## alpha = 1e-04
## beta = 1e-04
##
## Initial states:
## l = 4.0609
## b = 3e-04
##
## sigma: 0.2243
##
## AIC AICc BIC
## 8580.638 8580.670 8608.344
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set 1.612812 15.24738 11.52105 -2.739207 17.92088 0.6742361 0.1485729
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## 2020.1616 65.57560 49.19524 87.41007 42.25205 101.77397
## 2020.1644 80.31529 60.25305 107.05758 51.74921 124.65012
## 2020.1671 81.41235 61.07607 108.51993 52.45607 126.35278
## 2020.1699 66.50479 49.89232 88.64865 42.85074 103.21610
## 2020.1726 68.09211 51.08313 90.76451 43.87349 105.67965
## 2020.1753 73.87608 55.42230 98.47435 47.60024 114.65645
## 2020.1781 64.46486 48.36194 85.92953 41.53635 100.05017
## 2020.1808 65.30946 48.99555 87.05537 42.08053 101.36103
## 2020.1836 70.14808 52.62550 93.50511 45.19816 108.87066
## 2020.1863 72.75580 54.58181 96.98114 46.87835 112.91791
## 2020.1890 65.72693 49.30869 87.61192 42.34946 102.00908
## 2020.1918 68.55250 51.42843 91.37835 44.17001 106.39447
## 2020.1945 65.57727 49.19637 87.41251 42.25297 101.77695
## 2020.1973 68.41275 51.32353 91.19217 44.07989 106.17775
## 2020.2000 73.70169 55.29128 98.24224 47.48763 114.38641
## 2020.2027 89.90290 67.44544 119.83808 57.92636 139.53114
## 2020.2055 84.36051 63.28746 112.45032 54.35521 130.92941
## 2020.2082 65.63428 49.23895 87.48884 42.28945 101.86603
## 2020.2110 72.32635 54.25930 96.40930 46.60121 112.25248
## 2020.2137 64.22099 48.17859 85.60515 41.37870 99.67292
## 2020.2164 65.65841 49.25687 87.52131 42.30476 101.90404
## 2020.2192 69.47263 52.11822 92.60573 44.76223 107.82408
## 2020.2219 74.11061 55.59754 98.78823 47.75043 115.02267
## 2020.2247 76.01169 57.02363 101.32252 48.97520 117.97354
## 2020.2274 66.77019 50.09060 89.00389 43.02067 103.63061
## 2020.2301 61.88298 46.42415 82.48946 39.87167 96.04571
## 2020.2329 65.55356 49.17769 87.38250 42.23651 101.74300
## 2020.2356 67.41844 50.57659 89.86859 43.43791 104.63778
## 2020.2384 74.05651 55.55625 98.71736 47.71465 114.94093
## 2020.2411 74.34245 55.77061 99.09878 47.89869 115.38520
## 2020.2438 71.93931 53.96766 95.89567 46.35015 111.65584
## 2020.2466 70.29368 52.73297 93.70232 45.28966 109.10219
## 2020.2493 59.64800 44.74664 79.51175 38.43054 92.57958
## 2020.2521 64.05797 48.05474 85.39061 41.27162 99.42482
## 2020.2548 71.81187 53.87133 95.72707 46.26708 111.46033
## 2020.2575 70.99523 53.25850 94.63884 45.74067 110.19347
## 2020.2603 81.43740 61.09166 108.55902 52.46800 126.40181
## 2020.2630 74.75185 56.07613 99.64737 48.16036 116.02570
## 2020.2658 68.68103 51.52179 91.55513 44.24880 106.60365
## 2020.2685 79.78961 59.85472 106.36391 51.40530 123.84681
## 2020.2712 68.69557 51.53219 91.57541 44.25751 106.62782
## 2020.2740 64.52533 48.40362 86.01668 41.57047 100.15567
## 2020.2767 69.08831 51.82624 92.09994 44.50979 107.23919
## 2020.2795 81.27176 60.96524 108.34203 52.35846 126.15151
## 2020.2822 91.47626 68.61964 121.94623 58.93205 141.99245
## 2020.2849 68.70364 51.53675 91.58882 44.26074 106.64507
## 2020.2877 66.98225 50.24515 89.29463 43.15134 103.97410
## 2020.2904 68.87267 51.66285 91.81539 44.36872 106.90965
## 2020.2932 69.59846 52.20690 92.78362 44.83579 108.03746
## 2020.2959 79.34200 59.51524 105.77379 51.11206 123.16374
## 2020.2986 79.58453 59.69670 106.09794 51.26769 123.54169
## 2020.3014 73.19386 54.90259 97.57902 47.15029 113.62265
## 2020.3041 67.51269 50.64073 90.00588 43.49002 104.80482
## 2020.3068 74.02349 55.52394 98.68674 47.68348 114.91353
## 2020.3096 71.68967 53.77289 95.57620 46.17947 111.29206
## 2020.3123 83.50756 62.63665 111.33277 53.79128 129.64019
## 2020.3151 77.68213 58.26659 103.56728 50.03810 120.59836
## 2020.3178 83.83152 62.87841 111.76690 53.99834 130.14706
## 2020.3205 76.65214 57.49286 102.19617 49.37310 119.00308
## 2020.3233 68.87344 51.65790 91.82625 44.36196 106.92835
## 2020.3260 68.93334 51.70226 91.90713 44.39979 107.02317
## 2020.3288 74.90180 56.17815 99.86588 48.24321 116.29160
## 2020.3315 73.72619 55.29575 98.29960 47.48515 114.46843
## 2020.3342 82.17651 61.63287 109.56782 52.92680 127.59092
## 2020.3370 80.92674 60.69477 107.90284 52.12086 125.65290
## 2020.3397 76.16851 57.12537 101.55982 49.05535 118.26727
## 2020.3425 74.42999 55.82075 99.24308 47.93469 115.57023
## 2020.3452 76.14435 57.10569 101.53037 49.03774 118.23468
## 2020.3479 66.80600 50.10154 89.07995 43.02282 103.73663
## 2020.3507 70.29332 52.71610 93.73135 45.26762 109.15419
## 2020.3534 70.45121 52.83371 93.94330 45.36826 109.40189
## 2020.3562 70.90908 53.17626 94.55531 45.66203 110.11551
## 2020.3589 78.02925 58.51490 104.05152 50.24585 121.17546
## 2020.3616 65.64454 49.22667 87.53801 42.26983 101.94518
## 2020.3644 73.81236 55.35077 98.43158 47.52803 114.63264
## 2020.3671 66.43766 49.81974 88.59867 42.77831 103.18225
## 2020.3699 75.86820 56.89043 101.17666 48.84918 117.83173
## 2020.3726 77.78044 58.32328 103.72868 50.07902 120.80500
## 2020.3753 82.84567 62.12026 110.48578 53.33876 128.67576
## 2020.3781 76.57398 57.41645 102.12358 49.29940 118.93804
## 2020.3808 70.96571 53.21024 94.64593 45.68735 110.23035
## 2020.3836 60.13541 45.08875 80.20333 38.71367 93.41062
## 2020.3863 71.12603 53.32828 94.86360 45.78772 110.48623
## 2020.3890 64.33348 48.23440 85.80591 41.41365 99.93800
## 2020.3918 81.70780 61.25957 108.98156 52.59635 126.93208
## 2020.3945 76.68165 57.49001 102.27996 49.35929 119.12805
## 2020.3973 75.18008 56.36297 100.27939 48.39107 116.79932
## 2020.4000 57.92927 43.42892 77.27108 37.28594 90.00175
## 2020.4027 49.60539 37.18773 66.16954 31.92716 77.07215
## 2020.4055 54.83465 41.10696 73.14671 35.29153 85.20004
## 2020.4082 63.24882 47.41350 84.37288 40.70534 98.27737
## 2020.4110 72.24346 54.15482 96.37401 46.49226 112.25776
## 2020.4137 83.43647 62.54367 111.30856 53.69341 129.65549
## 2020.4164 76.86422 57.61561 102.54353 49.46200 119.44740
## 2020.4192 72.25556 54.15961 96.39777 46.49443 112.29014
## 2020.4219 76.06772 57.01547 101.48646 48.94539 118.21948
## 2020.4247 65.61499 49.17940 87.54330 42.21782 101.97890
## 2020.4274 85.02194 63.72337 113.43924 54.70219 132.14699
## 2020.4301 75.97303 56.93960 101.36882 48.87804 118.08782
## 2020.4329 78.63797 58.93515 104.92772 50.59025 122.23562
## 2020.4356 75.99674 56.95394 101.40656 48.88879 118.13555
## 2020.4384 71.12311 53.29987 94.90636 45.75141 110.56482
## 2020.4411 74.62603 55.92320 99.58379 48.00241 116.01592
## 2020.4438 71.61798 53.66730 95.57282 46.06525 111.34501
## 2020.4466 67.86040 50.84987 90.56138 43.64615 105.50837
## 2020.4493 77.28118 57.90721 103.13709 49.70282 120.16180
## 2020.4521 73.37564 54.97889 97.92821 47.18854 114.09516
## 2020.4548 70.88261 53.10907 94.60426 45.58283 110.22449
## 2020.4575 76.40336 57.24349 101.97621 49.13043 118.81586
## 2020.4603 69.08526 51.75870 92.21200 44.42215 107.44130
## 2020.4630 67.11835 50.28325 89.58994 43.15500 104.38822
## 2020.4658 68.19961 51.09139 91.03661 43.84771 106.07594
## 2020.4685 65.67635 49.19924 87.67176 42.22297 102.15727
## 2020.4712 77.68764 58.19483 103.70970 49.94200 120.84755
## 2020.4740 63.41110 47.49859 84.65446 40.76179 98.64552
## 2020.4767 60.89148 45.60942 81.29400 39.13973 94.73167
## 2020.4795 63.66536 47.68519 85.00076 40.92018 99.05329
## 2020.4822 63.50149 47.56049 84.78549 40.81227 98.80459
## 2020.4849 69.71604 52.21278 93.08691 44.80346 108.48106
## 2020.4877 70.75482 52.98849 94.47797 45.46806 110.10465
## 2020.4904 78.26619 58.61123 104.51235 50.29163 121.80153
## 2020.4932 72.41909 54.23010 96.70872 46.53129 112.70961
## 2020.4959 65.82355 49.28891 87.90497 42.29057 102.45168
## 2020.4986 62.15114 46.53686 83.00439 39.92831 96.74248
## 2020.5014 58.56962 43.85310 78.22481 37.62473 91.17407
## 2020.5041 61.77962 46.25435 82.51594 39.68396 96.17795
## 2020.5068 38.25842 28.64268 51.10230 24.57338 59.56472
## 2020.5096 65.84656 49.29451 87.95644 42.29010 102.52446
## 2020.5123 65.94391 49.36495 88.09084 42.34942 102.68380
## 2020.5151 57.00550 42.67160 76.15432 36.60633 88.77226
## 2020.5178 64.43804 48.23279 86.08792 41.37594 100.35446
## 2020.5205 67.92858 50.84288 90.75591 43.61379 105.79893
## 2020.5233 62.54902 46.81396 83.57294 40.15660 97.42807
## 2020.5260 73.10084 54.70841 97.67664 46.92707 113.87315
## 2020.5288 66.16820 49.51737 88.41808 42.47315 103.08232
## 2020.5315 71.11136 53.21369 95.02866 45.64232 110.79248
## 2020.5342 72.29080 54.09328 96.61016 46.39539 112.63965
## 2020.5370 66.08882 49.44971 88.32676 42.41137 102.98494
## 2020.5397 72.04027 53.89968 96.28629 46.22656 112.26880
## 2020.5425 65.44542 48.96264 87.47694 41.99106 102.00033
## 2020.5452 67.44951 50.45902 90.16100 43.27303 105.13329
## 2020.5479 68.40412 51.17011 91.44251 43.88147 106.63097
## 2020.5507 72.43400 54.18141 96.83551 46.46235 112.92337
## 2020.5534 58.81583 43.99217 78.63449 37.72351 91.70148
## 2020.5562 66.86245 50.00765 89.39808 42.88040 104.25713
## 2020.5589 68.31198 51.08856 91.34192 43.80579 106.52762
## 2020.5616 60.58284 45.30526 81.01224 38.84560 94.48381
## 2020.5644 69.66222 52.09166 93.15936 44.66285 108.65461
## 2020.5671 71.93364 53.78663 96.20324 46.11451 112.20868
## 2020.5699 64.13595 47.95291 85.78041 41.11146 100.05532
## 2020.5726 68.84173 51.46784 92.08049 44.12334 107.40765
## 2020.5753 73.40721 54.87737 98.19384 47.04462 114.54272
## 2020.5781 72.58604 54.25973 97.10211 46.51344 113.27337
## 2020.5808 65.03217 48.60962 87.00299 41.66842 101.49612
## 2020.5836 73.54717 54.97044 98.40172 47.11917 114.79799
## 2020.5863 65.09549 48.65001 87.10014 41.69988 101.61713
## 2020.5890 78.48046 58.64918 105.01736 50.26864 122.52534
## 2020.5918 57.62494 43.06049 77.11556 36.90602 89.97540
## 2020.5945 73.52163 54.93526 98.39637 47.08172 114.80955
## 2020.5973 64.50464 48.19414 86.33516 41.30265 100.74047
## 2020.6000 66.58100 49.74167 89.12104 42.62717 103.99539
## 2020.6027 73.54563 54.94059 98.45106 47.08057 114.88730
## 2020.6055 81.10655 60.58406 108.58091 51.91451 126.71356
## 2020.6082 80.05903 59.79686 107.18704 51.23781 125.09216
## 2020.6110 67.98654 50.77573 91.03108 43.50607 106.24194
## 2020.6137 66.20394 49.44038 88.65145 42.36009 103.46912
## 2020.6164 70.44565 52.60372 94.33912 45.06846 110.11225
## 2020.6192 65.90194 49.20672 88.26163 42.15621 103.02315
## 2020.6219 63.72667 47.57853 85.35549 40.75949 99.63540
## 2020.6247 84.39831 63.00668 113.05269 53.97403 131.97226
## 2020.6274 83.77216 62.53386 112.22361 53.56655 131.01039
## 2020.6301 69.96330 52.22134 93.73301 44.73078 109.42941
## 2020.6329 78.46516 58.56207 105.13258 50.15967 122.74366
## 2020.6356 78.31695 58.44625 104.94334 50.05812 122.52849
## 2020.6384 69.42215 51.80360 93.03283 44.36669 108.62733
## 2020.6411 74.19581 55.36072 99.43907 47.41087 116.11299
## 2020.6438 88.09327 65.72417 118.07564 56.28339 137.88125
## 2020.6466 78.22438 58.35582 104.85764 49.97098 122.45214
## 2020.6493 64.43233 48.06236 86.37790 41.15448 100.87662
## 2020.6521 61.26623 45.69631 82.14124 39.12654 95.93365
## 2020.6548 76.25179 56.86805 102.24258 48.68963 119.41630
## 2020.6575 70.72374 52.74014 94.83947 45.15306 110.77538
## 2020.6603 73.99218 55.17207 99.23213 47.23268 115.91216
## 2020.6630 81.67309 60.89329 109.54399 52.12787 127.96407
## 2020.6658 81.08169 60.44630 108.76166 51.74247 127.05693
## 2020.6685 79.81879 59.49878 107.07847 50.92867 125.09731
## 2020.6712 62.45372 46.54970 83.79147 39.84259 97.89694
## 2020.6740 52.06630 38.80345 69.86233 33.21064 81.62743
## 2020.6767 51.31331 38.23828 68.85916 32.72512 80.45978
## 2020.6795 55.07797 41.03934 73.91889 35.12037 86.37673
## 2020.6822 67.99506 50.65865 91.26436 43.34986 106.65152
## 2020.6849 78.61788 58.56670 105.53388 50.11413 123.33390
## 2020.6877 67.52800 50.29979 90.65707 43.03785 105.95398
## 2020.6904 63.89918 47.59154 85.79475 40.71824 100.27705
## 2020.6932 69.47177 51.73622 93.28719 44.26173 109.04063
## 2020.6959 73.28153 54.56727 98.41399 46.68100 115.04001
## 2020.6986 78.51925 58.46080 105.45996 50.00883 123.28371
## 2020.7014 75.80963 56.43693 101.83227 48.27464 119.05010
## 2020.7041 61.81568 46.01374 83.04429 39.35652 97.09137
## 2020.7068 65.20407 48.53030 87.60651 41.50643 102.43162
## 2020.7096 65.35214 48.63479 87.81578 41.59321 102.68269
## 2020.7123 70.59816 52.53262 94.87629 44.92387 110.94549
## 2020.7151 66.15126 49.21775 88.91079 42.08645 103.97621
## 2020.7178 83.34692 62.00414 112.03622 53.01678 131.02849
## 2020.7205 82.47454 61.34766 110.87709 52.45207 129.68126
## 2020.7233 77.17606 57.39938 103.76670 49.07309 121.37290
## 2020.7260 79.70166 59.27041 107.17583 50.66938 125.36871
## 2020.7288 69.13209 51.40385 92.97445 43.94146 108.76391
## 2020.7315 79.68828 59.24551 107.18486 50.64133 125.39602
## 2020.7342 72.02709 53.54283 96.89255 45.76375 113.36268
## 2020.7370 79.61966 59.17929 107.12008 50.57785 125.33727
## 2020.7397 75.44334 56.06784 101.51448 47.91533 118.78656
## 2020.7425 78.53983 58.36141 105.69492 49.87194 123.68687
## 2020.7452 69.91409 51.94491 94.09931 44.38569 110.12512
## 2020.7479 76.10926 56.54025 102.45126 48.30888 119.90796
## 2020.7507 80.01888 59.43662 107.72856 50.77996 126.09347
## 2020.7534 81.35784 60.42295 109.54609 51.61891 128.23008
## 2020.7562 81.26831 60.34817 109.44057 51.55129 128.11588
## 2020.7589 82.15248 60.99629 110.64657 52.10111 129.53717
## 2020.7616 78.85725 58.54148 106.22325 50.00059 124.36785
## 2020.7644 79.75551 59.19998 107.44837 50.55925 125.81163
## 2020.7671 75.26533 55.85912 101.41351 47.70243 118.75433
## 2020.7699 77.80058 57.73242 104.84457 49.29844 122.78138
## 2020.7726 82.48561 61.20012 111.17421 52.25556 130.20386
## 2020.7753 76.74445 56.93217 103.45134 48.60763 121.16842
## 2020.7781 91.82446 68.10913 123.79736 58.14579 145.01018
## 2020.7808 80.32841 59.57332 108.31450 50.85464 126.88426
## 2020.7836 77.30459 57.32222 104.25277 48.92912 122.13584
## 2020.7863 85.28291 63.22870 115.02964 53.96647 134.77208
## 2020.7890 73.85925 54.75089 99.63654 46.72680 116.74647
## 2020.7918 74.45543 55.18437 100.45618 47.09294 117.71640
## 2020.7945 77.67434 57.56125 104.81536 49.11729 122.83462
## 2020.7973 102.62566 76.03981 138.50675 64.87978 162.33142
## 2020.8000 95.37956 70.65976 128.74739 60.28433 150.90587
## 2020.8027 84.20404 62.37077 113.68019 53.20801 133.25665
## 2020.8055 82.74949 61.28360 111.73428 52.27614 130.98669
## 2020.8082 80.17893 59.37031 108.28072 50.63976 126.94888
## 2020.8110 77.21563 57.16681 104.29572 48.75611 122.28733
## 2020.8137 91.86636 68.00241 124.10483 57.99250 145.52619
## 2020.8164 83.00559 61.43328 112.15303 52.38578 131.52289
## 2020.8192 94.73794 70.10488 128.02643 59.77503 150.15096
## 2020.8219 87.02750 64.38849 117.62639 54.89608 137.96587
## 2020.8247 84.19980 62.28589 113.82364 53.09872 133.51747
## 2020.8274 91.56959 67.72611 123.80734 57.73132 145.24160
## 2020.8301 85.29299 63.07307 115.34074 53.76009 135.32147
## 2020.8329 79.50276 58.78113 107.52921 50.09731 126.16823
## 2020.8356 98.57259 72.86795 133.34472 62.09735 156.47297
## 2020.8384 89.43496 66.10156 121.00490 56.32588 142.00599
## 2020.8411 79.96574 59.09243 108.21218 50.34862 127.00487
## 2020.8438 75.39999 55.70857 102.05178 47.46101 119.78588
## 2020.8466 76.85940 56.77669 104.04566 48.36641 122.13781
## 2020.8493 80.89285 59.74546 109.52553 50.89057 128.58283
## 2020.8521 81.01457 59.82450 109.71025 50.95300 128.81206
## 2020.8548 99.02787 73.11289 134.12845 62.26480 157.49700
## 2020.8575 89.38364 65.98034 121.08810 56.18506 142.19856
## 2020.8603 78.73235 58.10710 106.67858 49.47580 125.28919
## 2020.8630 69.91884 51.59279 94.75440 43.92479 111.29578
## 2020.8658 71.34536 52.63551 96.70583 44.80807 113.59920
## 2020.8685 82.26244 60.67815 111.52463 51.64951 131.01981
## 2020.8712 75.32020 55.54684 102.13242 47.27693 119.99791
## 2020.8740 99.79248 73.58041 135.34226 62.61926 159.03315
## 2020.8767 85.84633 63.28518 116.45052 53.85218 136.84854
## 2020.8795 72.66669 53.55882 98.59157 45.57088 115.87329
## 2020.8822 89.36781 65.85541 121.27484 56.02770 142.54744
## 2020.8849 76.20805 56.14684 103.43709 47.76296 121.59352
## 2020.8877 81.08855 59.73070 110.08330 50.80632 129.41998
## 2020.8904 78.11381 57.52794 106.06613 48.92748 124.71041
## 2020.8932 66.27893 48.80215 90.01442 41.50176 105.84843
## 2020.8959 56.02203 41.24146 76.09982 35.06832 89.49581
## 2020.8986 61.60588 45.34282 83.70199 38.55160 98.44687
## 2020.9014 46.46659 34.19304 63.14570 29.06861 74.27749
## 2020.9041 62.74180 46.15980 85.28056 39.23763 100.32546
## 2020.9068 63.09008 46.40634 85.77184 39.44285 100.91456
## 2020.9096 62.01799 45.60818 84.33204 38.76015 99.23160
## 2020.9123 81.50629 59.92725 110.85567 50.92352 130.45595
## 2020.9151 73.09868 53.73414 99.44174 45.65574 117.03712
## 2020.9178 80.28423 59.00353 109.24020 50.12724 128.58391
## 2020.9205 76.97106 56.55638 104.75467 48.04275 123.31818
## 2020.9233 79.59855 58.47429 108.35409 49.66625 127.57012
## 2020.9260 75.83010 55.69376 103.24681 47.29908 121.57114
## 2020.9288 85.20725 62.56710 116.03982 53.13022 136.65058
## 2020.9315 93.31602 68.50615 127.11090 58.16668 149.70561
## 2020.9342 92.17439 67.65298 125.58379 57.43551 147.92448
## 2020.9370 76.48466 56.12466 104.23054 47.64263 122.78717
## 2020.9397 80.05264 58.72960 109.11746 49.84794 128.55947
## 2020.9425 71.70550 52.59390 97.76190 44.63477 115.19447
## 2020.9452 72.32091 53.03317 98.62344 45.00213 116.22369
## 2020.9479 82.38658 60.40048 112.37574 51.24754 132.44632
## 2020.9507 104.19751 76.37318 142.15884 64.79185 167.56926
## 2020.9534 105.07816 77.00074 143.39367 65.31621 169.04563
## 2020.9562 78.07195 57.19734 106.56491 48.51187 125.64407
## 2020.9589 80.73868 59.13712 110.23084 50.15085 129.98254
## 2020.9616 101.07026 74.01147 138.02181 62.75706 162.77365
## 2020.9644 85.51876 62.60853 116.81249 53.08140 137.77819
## 2020.9671 81.12089 59.37460 110.83189 50.33318 130.74077
## 2020.9699 96.03245 70.27182 131.23655 59.56339 154.83052
## 2020.9726 88.67266 64.87054 121.20818 54.97813 143.01761
## 2020.9753 71.34806 52.18359 97.55071 44.22015 115.11824
## 2020.9781 72.01845 52.66097 98.49148 44.61888 116.24355
## 2020.9808 48.66812 35.57807 66.57433 30.14084 78.58393
## 2020.9836 28.92468 21.13968 39.57661 17.90665 46.72214
## 2020.9863 42.29241 30.90180 57.88168 26.17232 68.34121
## 2020.9890 50.70351 37.03822 69.41061 31.36540 81.96439
## 2020.9918 56.51536 41.27327 77.38632 34.94712 91.39484
## 2020.9945 53.84255 39.31131 73.74519 33.28139 87.10633
## 2020.9973 53.54045 39.08074 73.35018 33.08171 86.65148
## 2021.0000 51.96387 37.92020 71.20860 32.09495 84.13300
## 2021.0027 46.65593 34.03797 63.95142 28.80515 75.56899
## 2021.0055 57.11686 41.65892 78.31062 35.24965 92.54945
## 2021.0082 74.23737 54.13182 101.81048 45.79723 120.33886
## 2021.0110 81.97607 59.75894 112.45307 50.55091 132.93680
## 2021.0137 67.01490 48.83961 91.95397 41.30832 108.71894
## 2021.0164 69.38167 50.55104 95.22686 42.74981 112.60440
## 2021.0192 67.32029 49.03601 92.42233 41.46271 109.30356
## 2021.0219 67.87247 49.42491 93.20547 41.78560 110.24544
## 2021.0247 66.17461 48.17549 90.89848 40.72346 107.53208
## 2021.0274 69.99192 50.94066 96.16815 43.05470 113.78244
## 2021.0301 76.67327 55.78814 105.37707 47.14493 124.69613
## 2021.0329 77.96649 56.71350 107.18390 47.91995 126.85267
## 2021.0356 69.73641 50.71284 95.89615 42.84344 113.51018
## 2021.0384 59.84963 43.51101 82.32350 36.75375 97.45887
## 2021.0411 58.07137 42.20640 79.89981 35.64647 94.60357
## 2021.0438 66.69135 48.45781 91.78574 40.92017 108.69300
## 2021.0466 68.23380 49.56456 93.93511 41.84850 111.25492
## 2021.0493 65.65068 47.67465 90.40467 40.24677 107.08964
## 2021.0521 60.12452 43.64917 82.81848 36.84290 98.11816
## 2021.0548 61.48197 44.62185 84.71260 37.65819 100.37745
## 2021.0575 50.90889 36.93756 70.16478 31.16834 83.15217
## 2021.0603 60.83215 44.12470 83.86573 37.22723 99.40441
## 2021.0630 74.03187 53.68349 102.09316 45.28482 121.02769
## 2021.0658 82.24930 59.62482 113.45858 50.28884 134.52184
## 2021.0685 74.34809 53.88115 102.58949 45.43742 121.65389
## 2021.0712 63.82119 46.23846 88.08997 38.98632 104.47626
## 2021.0740 67.41116 48.82487 93.07274 41.16058 110.40329
## 2021.0767 73.42600 53.16543 101.40757 44.81269 120.30915
## 2021.0795 77.93139 56.41069 107.66225 47.54054 127.74997
## 2021.0822 68.11087 49.28721 94.12361 41.53053 111.70312
## 2021.0849 67.19716 48.61127 92.88912 40.95439 110.25578
## 2021.0877 75.25074 54.42073 104.05361 45.84139 123.52754
## 2021.0904 66.63776 48.17712 92.17218 40.57549 109.44022
## 2021.0932 68.82656 49.74424 95.22903 41.88851 113.08819
## 2021.0959 65.17879 47.09324 90.20985 39.64966 107.14527
## 2021.0986 76.43160 55.20650 105.81707 46.47288 125.70320
## 2021.1014 77.09033 55.66490 106.76242 46.85101 126.84719
## 2021.1041 64.26436 46.38903 89.02769 39.03738 105.79369
## 2021.1068 72.53452 52.34230 100.51635 44.03983 119.46588
## 2021.1096 64.16084 46.28501 88.94052 38.93680 105.72551
## 2021.1123 61.33010 44.22885 85.04362 37.20080 101.11022
## 2021.1151 73.26721 52.82051 101.62879 44.41970 120.84918
## 2021.1178 69.86331 50.35034 96.93842 42.33519 115.29139
## 2021.1205 70.93329 51.10495 98.45488 42.96232 117.11498
## 2021.1233 86.25824 62.12586 119.76468 52.21828 142.48811
## 2021.1260 76.49045 55.07283 106.23732 46.28204 126.41597
## 2021.1288 66.96866 48.20137 93.04302 40.50039 110.73477
## 2021.1315 60.21867 43.32873 83.69246 36.39989 99.62361
## 2021.1342 61.51240 44.24496 85.51880 37.16309 101.81542
## 2021.1370 59.74554 42.95980 83.08999 36.07729 98.94118
## 2021.1397 64.57172 46.41455 89.83189 38.97167 106.98815
## 2021.1425 60.47900 43.45810 84.16634 36.48283 100.25838
## 2021.1452 74.06697 53.20401 103.11094 44.65650 122.84697
## 2021.1479 79.36779 56.99242 110.52778 47.82771 131.70703
## 2021.1507 71.88591 51.60229 100.14254 43.29655 119.35325
## 2021.1534 72.94146 52.34212 101.64771 43.90936 121.16907
## 2021.1562 73.79840 52.93889 102.87718 44.40192 122.65693
## 2021.1589 75.43270 54.09260 105.19168 45.36131 125.43931
## 2021.1616 66.99347 48.02423 93.45544 40.26508 111.46446
## 2021.1644 82.05187 58.79839 114.50159 49.28941 136.59137
## 2021.1671 83.17264 59.58073 116.10614 49.93600 138.53108
## 2021.1699 67.94275 48.65373 94.87901 40.77026 113.22512
## 2021.1726 69.56440 49.79744 97.17778 41.72088 115.99002
## 2021.1753 75.47342 54.00829 105.46969 45.24030 125.91070
## 2021.1781 65.85872 47.11133 92.06641 39.45561 109.93041
## 2021.1808 66.72158 47.71154 93.30592 39.95074 111.43148
## 2021.1836 71.66482 51.22801 100.25465 42.88708 119.75278
## 2021.1863 74.32892 53.11327 104.01899 44.45690 124.27290
## 2021.1890 67.14808 47.96471 94.00379 40.13977 112.32910
## 2021.1918 70.03474 50.00853 98.08056 41.84213 117.22312
## 2021.1945 66.99518 47.82069 93.85799 40.00384 112.19808
## 2021.1973 69.89197 49.87014 97.95214 41.71020 117.11492
## 2021.2000 75.29527 53.70583 105.56356 44.90954 126.23995
## 2021.2027 91.84678 65.48734 128.81622 54.75070 154.07714
## 2021.2055 86.18455 61.42736 120.91968 51.34628 144.66047
## 2021.2082 67.05342 47.77402 94.11312 39.92577 112.61302
## 2021.2110 73.89019 52.62538 103.74765 43.97146 124.16598
## 2021.2137 65.60957 46.71031 92.15559 39.02134 110.31443
## 2021.2164 67.07807 47.73781 94.25376 39.87174 112.84853
## 2021.2192 70.97476 50.49188 99.76687 42.16357 119.47322
## 2021.2219 75.71303 53.84226 106.46772 44.95228 127.52329
## 2021.2247 77.65522 55.20236 109.24049 46.07851 130.87083
## 2021.2274 68.21389 48.47229 95.99578 40.45259 115.02689
## 2021.2301 63.22101 44.90712 89.00362 37.46964 106.67025
## 2021.2329 66.97096 47.55242 94.31926 39.66873 113.06411
## 2021.2356 68.87616 48.88626 97.04007 40.77306 116.34952
## 2021.2384 75.65776 53.67874 106.63618 44.76096 127.88143
## 2021.2411 75.94988 53.86496 107.08973 44.90696 128.45190
## 2021.2438 73.49478 52.10333 103.66868 43.42928 124.37423
## 2021.2466 71.81357 50.89141 101.33711 42.41028 121.60232
## 2021.2493 60.93770 43.16706 86.02402 35.96568 103.24854
## 2021.2521 65.44303 46.34015 92.42071 38.60131 110.94934
## 2021.2548 73.36458 51.92871 103.64905 43.24746 124.45499
## 2021.2575 72.53029 51.31767 102.51134 42.72952 123.11495
## 2021.2603 83.19824 58.84199 117.63618 48.98422 141.30973
## 2021.2630 76.36813 53.98964 108.02242 44.93520 129.78893
## 2021.2658 70.16605 49.58493 99.28975 41.26036 119.32216
## 2021.2685 81.51482 57.58150 115.39586 47.90413 138.70760
## 2021.2712 70.18091 49.55510 99.39157 41.21779 119.49597
## 2021.2740 65.92050 46.52777 93.39608 38.69141 112.31206
## 2021.2767 70.58213 49.79759 100.04174 41.40151 120.32984
## 2021.2795 83.02901 58.55507 117.73221 48.67183 141.63875
## 2021.2822 93.45416 65.88001 132.56951 54.74844 159.52382
## 2021.2849 70.18915 49.45893 99.60823 41.09295 119.88713
## 2021.2877 68.43054 48.19964 97.15299 40.03784 116.95782
## 2021.2904 70.36183 49.53924 99.93668 41.14150 120.33561
## 2021.2932 71.10331 50.04029 101.03221 41.54838 121.68179
## 2021.2959 81.05753 57.02173 115.22490 47.33451 138.80620
## 2021.2986 81.30530 57.17186 115.62598 47.44852 139.32053
## 2021.3014 74.77645 52.55864 106.38629 43.61008 128.21620
## 2021.3041 68.97245 48.45850 98.17057 40.19896 118.34133
## 2021.3068 75.62402 53.10905 107.68396 44.04688 129.83876
## 2021.3096 73.23974 51.41257 104.33361 42.63020 125.82768
## 2021.3123 85.31316 59.86206 121.58510 49.62503 146.66660
## 2021.3151 79.36177 55.66208 113.15226 46.13274 136.52537
## 2021.3178 85.64413 60.04232 122.16244 49.75168 147.43054
## 2021.3205 78.30951 54.87639 111.74896 45.46067 134.89419
## 2021.3233 70.36262 49.28600 100.45245 40.82004 121.28598
## 2021.3260 70.42382 49.30726 100.58385 40.82819 121.47279
## 2021.3288 76.52133 53.55290 109.34074 44.33342 132.07901
## 2021.3315 75.32029 52.68912 107.67206 43.60816 130.09367
## 2021.3342 83.95333 58.70225 120.06630 48.57355 145.10287
## 2021.3370 82.67654 57.78383 118.29280 47.80236 142.99316
## 2021.3397 77.81543 54.36210 111.38717 44.96109 134.67735
## 2021.3425 76.03931 53.09756 108.89346 43.90484 131.69338
## 2021.3452 77.79074 54.29621 111.45160 44.88531 134.81914
## 2021.3479 68.25048 47.61589 97.82719 39.35348 118.36636
## 2021.3507 71.81320 50.07885 102.98032 41.37917 124.63119
## 2021.3534 71.97450 50.16860 103.25840 41.44339 124.99772
## 2021.3562 72.44227 50.47170 103.97673 41.68375 125.89758
## 2021.3589 79.71640 55.51438 114.46952 45.83734 138.63596
## 2021.3616 67.06390 46.68183 96.34512 38.53512 116.71347
## 2021.3644 75.40832 52.46613 108.38260 43.29943 131.32771
## 2021.3671 67.87417 47.20242 97.59888 38.94588 118.28986
## 2021.3699 77.50862 53.87770 111.50414 44.44267 135.17610
## 2021.3726 79.46220 55.21007 114.36758 45.53054 138.68146
## 2021.3753 84.63696 58.77813 121.87212 48.46111 147.81782
## 2021.3781 78.22966 54.30308 112.69856 44.76048 136.72504
## 2021.3808 72.50013 50.30238 104.49344 41.45255 126.80207
## 2021.3836 61.43566 42.60557 88.58796 35.10113 107.52761
## 2021.3863 72.66392 50.36862 104.82807 41.48647 127.27150
## 2021.3890 65.72450 45.53688 94.86179 37.49739 115.20028
## 2021.3918 83.47448 57.80745 120.53790 47.58966 146.41813
## 2021.3945 78.33966 54.22571 113.17699 44.62977 137.51140
## 2021.3973 76.80562 53.13851 111.01371 43.72392 134.91705
## 2021.4000 59.18181 40.92576 85.58147 33.66639 104.03512
## 2021.4027 50.67796 35.02831 73.31943 28.80770 89.15171
## 2021.4055 56.02029 38.70225 81.08760 31.82108 98.62244
## 2021.4082 64.61638 44.61941 93.57536 36.67680 113.83974
## 2021.4110 73.80551 50.94006 106.93455 41.86159 130.12532
## 2021.4137 85.24054 58.80386 123.56246 48.31148 150.39799
## 2021.4164 78.52617 54.14550 113.88500 44.47283 138.65454
## 2021.4192 73.81787 50.87414 107.10899 41.77506 130.43854
## 2021.4219 77.71246 53.53197 112.81532 43.94611 137.42345
## 2021.4247 67.03372 46.15324 97.36086 37.87881 118.62882
## 2021.4274 86.86028 59.77449 126.21954 49.04521 153.83172
## 2021.4301 77.61571 53.38624 112.84179 43.79215 137.56344
## 2021.4329 80.33828 55.23147 116.85799 45.29387 142.49695
## 2021.4356 77.63994 53.34983 112.98929 43.73926 137.81576
## 2021.4384 72.66093 49.90361 105.79616 40.90304 129.07624
## 2021.4411 76.23959 52.33523 111.06239 42.88472 135.53722
## 2021.4438 73.16651 50.20046 106.63920 41.12451 130.17390
## 2021.4466 69.32768 47.54264 101.09508 38.93682 123.43913
## 2021.4493 78.95215 54.11544 115.18786 44.30801 140.68433
## 2021.4521 74.96216 51.35459 109.42207 42.03624 133.67814
## 2021.4548 72.41523 49.58456 105.75805 40.57646 129.23666
## 2021.4575 78.05536 53.41926 114.05322 43.70272 139.41099
## 2021.4603 70.57902 48.27795 103.18164 39.48589 126.15643
## 2021.4630 68.56959 46.87941 100.29537 38.33164 122.66077
## 2021.4658 69.67422 47.61015 101.96350 38.91854 124.73482
## 2021.4685 67.09641 45.82503 98.24167 37.44909 120.21460
## 2021.4712 79.36740 54.17778 116.26878 44.26300 142.31262
## 2021.4740 64.78218 44.19869 94.95146 36.10023 116.25218
## 2021.4767 62.20808 42.42042 91.22600 34.63825 111.72172
## 2021.4795 65.04193 44.32974 95.43148 36.18731 116.90431
## 2021.4822 64.87452 44.19253 95.23562 36.06533 116.69667
## 2021.4849 71.22344 48.49199 104.61065 39.56312 128.21990
## 2021.4877 72.28468 49.18867 106.22519 40.12035 130.23505
## 2021.4904 79.95847 54.38189 117.56406 44.34378 144.17705
## 2021.4932 73.98493 50.29254 108.83860 40.99780 133.51376
## 2021.4959 67.24679 45.68795 98.97862 37.23375 121.45246
## 2021.4986 63.49497 43.11602 93.50610 35.12785 114.76965
## 2021.5014 59.83601 40.60977 88.16469 33.07661 108.24412
## 2021.5041 63.11542 42.81258 93.04640 34.86093 114.26995
## 2021.5068 39.08564 26.49845 57.65196 21.57073 70.82224
## 2021.5096 67.27029 45.58198 99.27809 37.09489 121.99233
## 2021.5123 67.36975 45.62480 99.47844 37.11915 122.27338
## 2021.5151 58.23807 39.41925 86.04101 32.06131 105.78708
## 2021.5178 65.83131 44.53473 97.31197 36.21156 119.67897
## 2021.5205 69.39733 46.92165 102.63897 38.14142 126.26667
## 2021.5233 63.90146 43.18221 94.56201 35.09161 116.36390
## 2021.5260 74.68143 50.43937 110.57465 40.97723 136.10768
## 2021.5288 67.59889 45.63089 100.14290 37.06006 123.30282
## 2021.5315 72.64893 49.01289 107.68324 39.79526 132.62552
## 2021.5342 73.85387 49.79841 109.52949 40.42128 134.93869
## 2021.5370 67.51779 45.50100 100.18796 36.92230 123.46611
## 2021.5397 73.59792 49.57105 109.27051 40.21321 134.69836
## 2021.5425 66.86047 45.00817 99.32249 36.50098 122.47132
## 2021.5452 68.90790 46.36065 102.42088 37.58676 126.32901
## 2021.5479 69.88315 46.99060 103.92833 38.08626 128.22615
## 2021.5507 74.00017 49.73117 110.11254 40.29560 135.89637
## 2021.5534 60.08754 40.35870 89.46058 32.69169 110.44130
## 2021.5562 68.30815 45.85445 101.75684 37.13236 125.65868
## 2021.5589 69.78902 46.82218 104.02138 37.90472 128.49342
## 2021.5616 61.89276 41.50107 92.30397 33.58701 114.05343
## 2021.5644 71.16846 47.69374 106.19736 38.58721 131.25980
## 2021.5671 73.48898 49.22093 109.72224 39.81085 135.65726
## 2021.5699 65.52270 43.86039 97.88385 35.46446 121.05706
## 2021.5726 70.33023 47.05169 105.12568 38.03340 130.05255
## 2021.5753 74.99442 50.14344 112.16151 40.52031 138.79865
## 2021.5781 74.15550 49.55413 110.97034 40.03195 137.36622
## 2021.5808 66.43829 44.37165 99.47897 35.83444 123.17889
## 2021.5836 75.13740 50.15260 112.56903 40.49078 139.43000
## 2021.5863 66.50298 44.36371 99.69063 35.80618 123.51630
## 2021.5890 80.17736 53.45489 120.25859 43.13051 149.04553
## 2021.5918 58.87090 39.22696 88.35208 31.64088 109.53499
## 2021.5945 75.11132 50.01923 112.79082 40.33363 139.87607
## 2021.5973 65.89936 43.85912 99.01534 35.35545 122.83045
## 2021.6000 68.02061 45.24449 102.26226 36.46095 126.89752
## 2021.6027 75.13583 49.94800 113.02539 40.23888 140.29697
## 2021.6055 82.86023 55.05066 124.71819 44.33588 154.85917
## 2021.6082 81.79006 54.30772 123.17981 43.72394 152.99660
## 2021.6110 69.45654 46.09123 104.66659 37.09715 130.04265
## 2021.6137 67.63540 44.85622 101.98245 36.09185 126.74738
## 2021.6164 71.96882 47.70192 108.58077 38.36951 134.99029
## 2021.6192 67.32687 44.59870 101.63765 35.86213 126.39814
## 2021.6219 65.10457 43.10096 98.34131 34.64688 122.33727
## 2021.6247 86.22317 57.04802 130.31890 45.84381 162.16877
## 2021.6274 85.58348 56.59096 129.42938 45.46214 161.11281
## 2021.6301 71.47604 47.23430 108.15921 37.93348 134.67853
## 2021.6329 80.16173 52.94238 121.37542 42.50407 151.18323
## 2021.6356 80.01032 52.81060 121.21907 42.38478 151.03657
## 2021.6384 70.92320 46.78445 107.51649 37.53632 134.00620
## 2021.6411 75.80007 49.97127 114.97908 40.08036 143.35326
## 2021.6438 89.99802 59.29536 136.59827 47.54367 170.36217
## 2021.6466 79.91575 52.62068 121.36913 42.17829 151.41739
## 2021.6493 65.82549 43.31656 100.03090 34.70936 124.83649
## 2021.6521 62.59093 41.16295 95.17356 32.97304 118.81297
## 2021.6548 77.90051 51.20001 118.52516 40.99982 148.01257
## 2021.6575 72.25292 47.45907 109.99974 37.99184 137.41068
## 2021.6603 75.59203 49.62188 115.15394 39.71031 143.89601
## 2021.6630 83.43902 54.73931 127.18595 43.79131 158.98293
## 2021.6658 82.83483 54.30945 126.34284 43.43325 157.98058
## 2021.6685 81.54463 53.43052 124.45183 42.71637 155.66694
## 2021.6712 63.80409 41.78051 97.43688 33.39153 121.91603
## 2021.6740 53.19207 34.80989 81.28140 27.81138 101.73521
## 2021.6767 52.42281 34.28514 80.15573 27.38312 100.35930
## 2021.6795 56.26886 36.77758 86.09007 29.36411 107.82497
## 2021.6822 69.46525 45.37446 106.34663 36.21610 133.23968
## 2021.6849 80.31776 52.43046 123.03805 41.83405 154.20313
## 2021.6877 68.98809 45.00636 105.74854 35.89848 132.57825
## 2021.6904 65.28080 42.56105 100.12872 33.93673 125.57437
## 2021.6932 70.97389 46.24363 108.92944 36.86080 136.65717
## 2021.6959 74.86602 48.74881 114.97555 38.84470 144.29050
## 2021.6986 80.21700 52.20006 123.27125 41.58085 154.75312
## 2021.7014 77.44879 50.36676 119.09272 40.10705 149.55762
## 2021.7041 63.15226 41.04332 97.17069 32.67181 122.06878
## 2021.7068 66.61391 43.26554 102.56229 34.42917 128.88528
## 2021.7096 66.76518 43.33615 102.86076 34.47372 129.30400
## 2021.7123 72.12463 46.78498 111.18874 37.20466 139.82020
## 2021.7151 67.58158 43.80998 104.25181 34.82706 131.14144
## 2021.7178 85.14905 55.16275 131.43581 43.83712 165.39315
## 2021.7205 84.25781 54.55029 130.14373 43.33566 163.82300
## 2021.7233 78.84476 51.01289 121.86127 40.51168 153.44948
## 2021.7260 81.42497 52.64831 125.93047 41.79615 158.62768
## 2021.7288 70.62686 45.63686 109.30097 36.21754 137.72755
## 2021.7315 81.41129 52.57134 126.07246 41.70645 158.91543
## 2021.7342 73.58446 47.48632 114.02595 37.65940 143.78011
## 2021.7370 81.34119 52.45783 126.12777 41.58777 159.09460
## 2021.7397 77.07457 49.67385 119.58989 39.36708 150.89995
## 2021.7425 80.23801 51.67888 124.57968 40.94193 157.25049
## 2021.7452 71.42577 45.97308 110.97017 36.40896 140.12046
## 2021.7479 77.75490 50.01400 120.88263 39.59547 152.68978
## 2021.7507 81.74905 52.54860 127.17573 41.58762 160.69464
## 2021.7534 83.11695 53.39273 129.38893 42.24095 163.54814
## 2021.7562 83.02549 53.29880 129.33184 42.15191 163.53308
## 2021.7589 83.92878 53.84308 130.82537 42.56746 165.47946
## 2021.7616 80.56230 51.64915 125.66101 40.81867 159.00285
## 2021.7644 81.47999 52.20284 127.17677 41.24176 160.97732
## 2021.7671 76.89272 49.23111 120.09661 38.88033 152.06894
## 2021.7699 79.48278 50.85554 124.22468 40.14906 157.35146
## 2021.7726 84.26911 53.88201 131.79321 42.52335 166.99727
## 2021.7753 78.40381 50.09820 122.70216 39.52320 155.53289
## 2021.7781 93.80988 59.90218 146.91108 47.24095 186.28530
## 2021.7808 82.06527 52.36752 128.60470 41.28418 163.13050
## 2021.7836 78.97607 50.36236 123.84685 39.68927 157.15126
## 2021.7863 87.12689 55.52265 136.72069 43.74036 173.54897
## 2021.7890 75.45624 48.05294 118.48688 37.84226 150.45729
## 2021.7918 76.06530 48.40807 119.52408 38.10828 151.82868
## 2021.7945 79.35382 50.46669 124.77593 39.71464 158.55685
## 2021.7973 104.84463 66.63286 164.96962 52.41773 209.70760
## 2021.8000 97.44185 61.88601 153.42587 48.66603 195.10352
## 2021.8027 86.02470 54.59769 135.54144 42.91915 172.42301
## 2021.8055 84.53870 53.61796 133.29100 42.13376 169.62149
## 2021.8082 81.91256 51.91684 129.23873 40.78224 164.52424
## 2021.8110 78.88519 49.96384 124.54753 39.23387 158.60972
## 2021.8137 93.85269 59.40309 148.28062 46.62905 188.90212
## 2021.8164 84.80034 53.63662 134.07068 42.08728 170.86152
## 2021.8192 96.78637 61.17569 153.12619 47.98551 195.21729
## 2021.8219 88.90921 56.15802 140.76078 44.03362 179.51844
## 2021.8247 86.02037 54.29580 136.28133 42.55787 173.86920
## 2021.8274 93.54951 59.00730 148.31233 46.23387 189.28785
## 2021.8301 87.13719 54.92456 138.24218 43.01913 176.50032
## 2021.8329 81.22177 51.16037 128.94698 40.05613 164.69327
## 2021.8356 100.70393 63.38776 159.98802 49.61131 204.41471
## 2021.8384 91.36872 57.47165 145.25846 44.96439 185.66345
## 2021.8411 81.69476 51.35077 129.96950 40.16071 166.18317
## 2021.8438 77.03029 48.38496 122.63450 37.82718 156.86249
## 2021.8466 78.52126 49.28692 125.09581 38.51803 160.07016
## 2021.8493 82.64191 51.83700 131.75310 40.49588 168.65138
## 2021.8521 82.76627 51.87850 132.04420 40.51321 169.08694
## 2021.8548 101.16905 63.36883 161.51752 49.46784 206.90566
## 2021.8575 91.31629 57.15704 145.89041 44.60204 186.95701
## 2021.8603 80.43470 50.31041 128.59645 39.24464 164.85668
## 2021.8630 71.43062 44.64690 114.28193 34.81376 146.56084
## 2021.8658 72.88799 45.52550 116.69634 35.48553 149.71341
## 2021.8685 84.04111 52.45440 134.64855 40.87098 172.80987
## 2021.8712 76.94877 47.99353 123.37318 37.38111 158.39857
## 2021.8740 101.95019 63.54177 163.57493 49.47261 210.09281
## 2021.8767 87.70249 54.62268 140.81563 42.51228 180.92956
## 2021.8795 74.23789 46.20362 119.28210 35.94619 153.31986
## 2021.8822 91.30012 56.78197 146.80208 44.15934 188.76441
## 2021.8849 77.85581 48.38585 125.27479 37.61538 161.14493
## 2021.8877 82.84184 51.44757 133.39350 39.98035 171.65360
## 2021.8904 79.80278 49.52452 128.59253 38.47127 165.53871
## 2021.8932 67.71201 41.99085 109.18846 32.60656 140.61331
## 2021.8959 57.23333 35.46698 92.35787 27.53014 118.98432
## 2021.8986 62.93792 38.97384 101.63695 30.24064 130.98870
## 2021.9014 47.47129 29.37494 76.71584 22.78390 98.90858
## 2021.9041 64.09840 39.63490 103.66130 30.72995 133.70034
## 2021.9068 64.45421 39.82593 104.31256 30.86618 134.59213
## 2021.9096 63.35894 39.12066 102.61471 30.30789 132.45251
## 2021.9123 83.26862 51.37629 134.95842 39.78730 174.26827
## 2021.9151 74.67922 46.04301 121.12556 35.64325 156.46678
## 2021.9178 82.02013 50.53200 133.12954 39.10316 172.03987
## 2021.9205 78.63533 48.41114 127.72918 37.44743 165.12520
## 2021.9233 81.31963 50.02695 132.18639 38.68227 170.95382
## 2021.9260 77.46969 47.62347 126.02092 36.80949 163.04363
## 2021.9288 87.04960 53.47318 141.70904 41.31478 183.41216
## 2021.9315 95.33369 58.51877 155.30937 45.19548 201.09342
## 2021.9342 94.16738 57.76015 153.52274 44.59212 198.85790
## 2021.9370 78.13841 47.89287 127.48476 36.95988 165.19564
## 2021.9397 81.78354 50.08990 133.53083 38.64021 173.09810
## 2021.9425 73.25592 44.83370 119.69634 34.57189 155.22524
## 2021.9452 73.88463 45.18486 120.81344 34.82896 156.73561
## 2021.9479 84.16794 51.43539 137.73089 39.63130 178.75369
## 2021.9507 106.45047 65.00383 174.32361 50.06610 226.33484
## 2021.9534 107.35016 65.50426 175.92834 50.43158 228.50872
## 2021.9562 79.76002 48.63256 130.81073 37.42727 169.97395
## 2021.9589 82.48441 50.25604 135.38030 38.66135 175.98141
## 2021.9616 103.25559 62.86429 169.59896 48.34150 220.55000
## 2021.9644 87.36785 53.15151 143.61100 40.85628 186.82905
## 2021.9671 82.87488 50.38020 136.32828 38.71062 177.42539
## 2021.9699 98.10886 59.59608 161.50975 45.77354 210.28190
## 2021.9726 90.58994 54.98718 149.24453 42.21674 194.39057
## 2021.9753 72.89075 44.21050 120.17645 33.92929 156.59216
## 2021.9781 73.57563 44.59212 121.39755 34.20844 158.24671
## 2021.9808 49.72042 30.11130 82.09943 23.09034 107.06299
## 2021.9836 29.55009 17.88230 48.83082 13.70723 63.70417
## 2021.9863 43.20686 26.12684 71.45266 20.01881 93.25394
## 2021.9890 51.79982 31.29908 85.72843 23.97219 111.93060
## 2021.9918 57.73734 34.86011 95.62794 26.68882 124.90625
## 2021.9945 55.00673 33.18607 91.17500 25.39690 119.13815
## 2021.9973 54.69810 32.97463 90.73285 25.22486 118.60844
## 2022.0000 53.08744 31.97912 88.12862 24.45340 115.25087
## 2022.0027 47.66473 28.69053 79.18733 21.92981 103.59992
## 2022.0055 58.35184 35.09636 97.01681 26.81524 126.97770
## 2022.0082 75.84252 45.58123 126.19424 34.81197 165.23307
## 2022.0110 83.74856 50.29395 139.45655 38.39557 182.67268
## 2022.0137 68.46389 41.08324 114.09286 31.35108 149.51013
## 2022.0164 70.88184 42.50131 118.21366 32.41996 154.97355
## 2022.0192 68.77589 41.20665 114.79029 31.41951 150.54734
## 2022.0219 69.34001 41.51243 115.82160 31.63967 151.96226
## 2022.0247 67.60543 40.44257 113.01198 30.81158 148.33691
## 2022.0274 71.50529 42.74227 119.62412 32.55023 157.08049
## 2022.0301 78.33110 46.78595 131.14539 35.61500 172.28026
## 2022.0329 79.65228 47.53798 133.46140 36.17254 175.39511
## 2022.0356 71.24425 42.48672 119.46657 32.31557 157.06800
## 2022.0384 61.14370 36.43473 102.60959 27.70093 134.96124
## 2022.0411 59.32698 35.32449 99.63882 26.84570 131.10817
## 2022.0438 68.13335 40.53618 114.51876 30.79367 150.75026
## 2022.0466 69.70915 41.44116 117.25942 31.46805 154.42220
## 2022.0493 67.07018 39.84098 112.90909 30.24038 148.75504
## 2022.0521 61.42453 36.45863 103.48641 27.66155 136.39772
## 2022.0548 62.81133 37.25239 105.90634 28.25199 139.64553
## 2022.0575 52.00965 30.82173 87.76286 23.36525 115.77037
## 2022.0603 62.14746 36.80045 104.95272 27.88590 138.50393
## 2022.0630 75.63258 44.75018 127.82715 33.89568 168.76158
## 2022.0658 84.02769 49.67798 142.12843 37.61241 187.72137
## 2022.0685 75.95565 44.87007 128.57704 33.95795 169.89426
## 2022.0712 65.20113 38.48633 110.45968 29.11444 146.01647
## 2022.0740 68.86872 40.61885 116.76600 30.71472 154.41786
## 2022.0767 75.01361 44.20786 127.28601 33.41451 168.40116Time Series Forecast of Monthly Crashes (With Pandemic Data)
Loading Necessary Packages
library(Mcomp)
library(smooth)Time Series Forecast of Monthly Crashes Using Linear Model (With Pandemic Data)
crashes_mts = crashes %>%
filter(as.Date(crash_date) >= "2015/01/01" & as.Date(crash_date) <= "2021/05/31") %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
group_by(Date) %>%
summarize(count = length(unique(key_crash))) %>%
separate(Date, into = c("Year", "Month", "Day"), sep = "/") %>%
group_by(Year, Month) %>%
summarise(mcount = sum(count)) %>%
tidyr::spread(key=Month, value=mcount)
crashes_mts = as.data.frame(crashes_mts)
rownames(crashes_mts) = seq(2015, 2021)
crashes_mts3 = crashes_mts %>%
select(02:13)
crashes_mts2 <- ts(c(t(crashes_mts3)), frequency=12)
crashes_mts4 <- window(crashes_mts2, start=c(1,01), end=c(7,05), frequency=12)
fit.crashes <- tslm(crashes_mts4 ~ trend + season)
summary(fit.crashes)##
## Call:
## tslm(formula = crashes_mts4 ~ trend + season)
##
## Residuals:
## Min 1Q Median 3Q Max
## -905.62 -168.40 12.76 183.83 499.69
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2167.215 126.041 17.195 < 2e-16 ***
## trend -7.141 1.532 -4.661 1.64e-05 ***
## season2 -56.002 159.214 -0.352 0.7262
## season3 9.282 159.236 0.058 0.9537
## season4 -44.577 159.273 -0.280 0.7805
## season5 44.135 159.325 0.277 0.7827
## season6 8.359 165.715 0.050 0.9599
## season7 -18.833 165.708 -0.114 0.9099
## season8 175.641 165.715 1.060 0.2932
## season9 106.949 165.736 0.645 0.5210
## season10 392.090 165.771 2.365 0.0211 *
## season11 251.897 165.821 1.519 0.1337
## season12 291.871 165.885 1.759 0.0833 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 297.8 on 64 degrees of freedom
## Multiple R-squared: 0.3669, Adjusted R-squared: 0.2482
## F-statistic: 3.091 on 12 and 64 DF, p-value: 0.001699fcast <- forecast::forecast(fit.crashes)
summary(fcast)##
## Forecast method: Linear regression model
##
## Model Information:
##
## Call:
## tslm(formula = crashes_mts4 ~ trend + season)
##
## Coefficients:
## (Intercept) trend season2 season3 season4 season5
## 2167.215 -7.141 -56.002 9.282 -44.577 44.135
## season6 season7 season8 season9 season10 season11
## 8.359 -18.833 175.641 106.949 392.090 251.897
## season12
## 291.871
##
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE
## Training set -2.953491e-14 271.5441 207.9078 -2.944415 12.43902 0.8125792
## ACF1
## Training set 0.7889263
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## Jun 7 1618.580 1193.737 2043.423 963.1557 2274.004
## Jul 7 1584.247 1159.403 2009.090 928.8223 2239.671
## Aug 7 1771.580 1346.737 2196.423 1116.1557 2427.004
## Sep 7 1695.747 1270.903 2120.590 1040.3223 2351.171
## Oct 7 1973.747 1548.903 2398.590 1318.3223 2629.171
## Nov 7 1826.413 1401.570 2251.257 1170.9890 2481.838
## Dec 7 1859.247 1434.403 2284.090 1203.8223 2514.671
## Jan 8 1560.234 1137.062 1983.407 907.3873 2213.081
## Feb 8 1497.091 1073.919 1920.264 844.2445 2149.938
## Mar 8 1555.234 1132.062 1978.407 902.3873 2208.081autoplot(fcast) +
ggtitle("Forecasts of Monthly Car Crashes Using Linear Model (With Pandemic Data)") + xlab("Year") + ylab("Monthly Crashes") +
scale_x_continuous(breaks = c(1,2,3,4,5,6,7,8),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021", "Jan 2022")) +
theme(axis.text.x = element_text(angle = 90))
Time Series Forecast of Monthly Crashes Using Linear Model (Without Pandemic Data)
crashes_mts.noncovid = crashes %>%
filter(as.Date(crash_date) >= "2015/01/01" & as.Date(crash_date) <= "2020/02/29") %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
group_by(Date) %>%
summarize(count = length(unique(key_crash))) %>%
separate(Date, into = c("Year", "Month", "Day"), sep = "/") %>%
group_by(Year, Month) %>%
summarise(mcount = sum(count)) %>%
tidyr::spread(key=Month, value=mcount)
crashes_mts.noncovid = as.data.frame(crashes_mts.noncovid)
rownames(crashes_mts.noncovid) = seq(2015, 2020)
crashes_mts3.noncovid = crashes_mts.noncovid %>%
select(02:13)
crashes_mts2.noncovid <- ts(c(t(crashes_mts3.noncovid)), frequency=12)
crashes_mts4.noncovid <- window(crashes_mts2.noncovid, start=c(1,01),
end=c(6,02), frequency=12)
fit.crashes.noncovid <- tslm(crashes_mts4.noncovid ~ trend + season)
summary(fit.crashes.noncovid)##
## Call:
## tslm(formula = crashes_mts4.noncovid ~ trend + season)
##
## Residuals:
## Min 1Q Median 3Q Max
## -225.07 -47.80 -10.15 58.73 166.53
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1897.4778 40.1625 47.245 < 2e-16 ***
## trend 2.6889 0.6196 4.339 7.13e-05 ***
## season2 -77.0222 49.8845 -1.544 0.129020
## season3 123.5222 52.3739 2.358 0.022384 *
## season4 138.2333 52.3483 2.641 0.011070 *
## season5 171.1444 52.3299 3.270 0.001969 **
## season6 80.2556 52.3189 1.534 0.131470
## season7 -19.2333 52.3153 -0.368 0.714723
## season8 186.6778 52.3189 3.568 0.000816 ***
## season9 107.7889 52.3299 2.060 0.044751 *
## season10 479.5000 52.3483 9.160 3.41e-12 ***
## season11 252.2111 52.3739 4.816 1.45e-05 ***
## season12 261.3222 52.4069 4.986 8.11e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 86.4 on 49 degrees of freedom
## Multiple R-squared: 0.8011, Adjusted R-squared: 0.7524
## F-statistic: 16.45 on 12 and 49 DF, p-value: 2.947e-13fcast.noncovid <- forecast::forecast(fit.crashes.noncovid)
summary(fcast.noncovid)##
## Forecast method: Linear regression model
##
## Model Information:
##
## Call:
## tslm(formula = crashes_mts4.noncovid ~ trend + season)
##
## Coefficients:
## (Intercept) trend season2 season3 season4 season5
## 1897.478 2.689 -77.022 123.522 138.233 171.144
## season6 season7 season8 season9 season10 season11
## 80.256 -19.233 186.678 107.789 479.500 252.211
## season12
## 261.322
##
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set 0 76.80595 60.79462 -0.1399194 2.938058 0.6303881 0.1638519
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## Mar 6 2190.4 2064.085 2316.715 1994.998 2385.802
## Apr 6 2207.8 2081.485 2334.115 2012.398 2403.202
## May 6 2243.4 2117.085 2369.715 2047.998 2438.802
## Jun 6 2155.2 2028.885 2281.515 1959.798 2350.602
## Jul 6 2058.4 1932.085 2184.715 1862.998 2253.802
## Aug 6 2267.0 2140.685 2393.315 2071.598 2462.402
## Sep 6 2190.8 2064.485 2317.115 1995.398 2386.202
## Oct 6 2565.2 2438.885 2691.515 2369.798 2760.602
## Nov 6 2340.6 2214.285 2466.915 2145.198 2536.002
## Dec 6 2352.4 2226.085 2478.715 2156.998 2547.802autoplot(fcast.noncovid) +
ggtitle("Forecasts of Monthly Car Crashes Using Linear Model (Without Pandemic Data)") +
xlab("Year") + ylab("Monthly Crashes") +
scale_x_continuous(breaks = c(1,2,3,4,5,6,7),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021")) +
theme(axis.text.x = element_text(angle = 90))
Time Series Forecast of Monthly Crashes Using HoltWinters (With Pandemic Data)
covid.monthly <- HoltWinters(crashes_mts4)
summary(covid.monthly)## Length Class Mode
## fitted 260 mts numeric
## x 77 ts numeric
## alpha 1 -none- numeric
## beta 1 -none- numeric
## gamma 1 -none- numeric
## coefficients 14 -none- numeric
## seasonal 1 -none- character
## SSE 1 -none- numeric
## call 2 -none- callplot(fitted(covid.monthly), main = "Box Jenkins Decomposition of Monthly Crashes (With Pandemic Data)") 
fcast.covid.monthly <- forecast(covid.monthly, 20)
summary(fcast.covid.monthly)## fit
## Min. :1513
## 1st Qu.:1679
## Median :1774
## Mean :1787
## 3rd Qu.:1873
## Max. :2103autoplot(fcast.covid.monthly) +
ggtitle("Forecasts of Monthly Car Crashes Using HoltWinters (With Pandemic Data)") +
xlab("Year") + ylab("Crashes")
Time Series Forecast of Monthly Crashes Using HoltWinters (Without Pandemic Data)
noncovid.monthly <- HoltWinters(crashes_mts4.noncovid)
summary(noncovid.monthly)## Length Class Mode
## fitted 200 mts numeric
## x 62 ts numeric
## alpha 1 -none- numeric
## beta 1 -none- numeric
## gamma 1 -none- numeric
## coefficients 14 -none- numeric
## seasonal 1 -none- character
## SSE 1 -none- numeric
## call 2 -none- callplot(fitted(noncovid.monthly), main = "Box Jenkins Decomposition of Monthly Crashes (Without Pandemic Data)") 
fcast.noncovid.monthly <- forecast(noncovid.monthly, 35)
summary(fcast.noncovid.monthly)## fit
## Min. :2035
## 1st Qu.:2229
## Median :2329
## Mean :2328
## 3rd Qu.:2392
## Max. :2749autoplot(fcast.noncovid.monthly) +
ggtitle("Forecasts of Monthly Car Crashes Using HoltWinters (Without Pandemic Data)") +
xlab("Year") + ylab("Crashes")
Seasonal and Trend Decomposition Using Loess Forecasting Model of Monthly Crashes (With Pandemic Data)
crashes_mts4 %>% mstl() %>%
autoplot()
t <- crashes_mts4 %>%
stlf(lambda = 0, h = 20)
t %>%
autoplot() +
ggtitle("Seasonal and Trend Decomposition Using Loess Forecasting Model for Monthly Car Crashes (With Pandemic Data)") +
xlab("Year") + ylab("Crashes") +
scale_x_continuous(breaks = c(1,2,3,4,5,6,7, 8, 9),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021", "Jan 2022",
"Jan 2023")) +
theme(axis.text.x = element_text(angle = 90))## Scale for 'x' is already present. Adding another scale for 'x', which will
## replace the existing scale.
t %>% summary()##
## Forecast method: STL + ETS(A,N,N)
##
## Model Information:
## ETS(A,N,N)
##
## Call:
## ets(y = na.interp(x), model = etsmodel, allow.multiplicative.trend = allow.multiplicative.trend)
##
## Smoothing parameters:
## alpha = 0.9999
##
## Initial states:
## l = 7.5598
##
## sigma: 0.1119
##
## AIC AICc BIC
## 1.220662 1.549429 8.252078
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE
## Training set -1.857766 167.8775 122.7426 -0.7327407 7.246443 0.4797227
## ACF1
## Training set -0.01885256
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## Jun 7 1711.903 1483.1185 1975.980 1374.6572 2131.886
## Jul 7 1729.304 1411.7749 2118.250 1268.0168 2358.401
## Aug 7 1904.104 1485.2014 2441.160 1302.1579 2784.312
## Sep 7 1821.488 1367.1900 2426.742 1174.5486 2824.760
## Oct 7 2041.872 1481.5795 2814.050 1250.2078 3334.837
## Nov 7 1956.832 1377.0660 2780.688 1143.3359 3349.139
## Dec 7 2013.547 1377.6430 2942.977 1126.8953 3597.825
## Jan 8 1787.527 1191.3724 2681.994 961.1035 3324.568
## Feb 8 1716.957 1116.5187 2640.298 889.0589 3315.801
## Mar 8 1744.267 1108.1798 2745.465 871.6120 3490.623
## Apr 8 1594.857 991.0683 2566.492 770.4182 3301.542
## May 8 1719.994 1046.4575 2827.043 804.4167 3677.672
## Jun 8 1711.903 1020.6150 2871.419 776.1698 3775.737
## Jul 8 1729.304 1011.0557 2957.792 760.9943 3929.717
## Aug 8 1904.104 1092.4796 3318.701 814.1207 4453.410
## Sep 8 1821.488 1026.2098 3233.080 757.3957 4380.561
## Oct 8 2041.872 1130.2361 3688.821 826.4111 5044.994
## Nov 8 1956.832 1064.7500 3596.329 771.4940 4963.345
## Dec 8 2013.547 1077.4904 3762.792 773.8635 5239.131
## Jan 9 1787.527 941.1308 3395.122 670.1417 4768.027Seasonal and Trend Decomposition Using Loess Forecasting Model of Monthly Crashes (Without Pandemic Data)
crashes_mts4.noncovid %>% mstl() %>%
autoplot()
q <- crashes_mts4.noncovid %>%
stlf(lambda = 0, h = 25)
q %>%
autoplot() +
ggtitle("Seasonal and Trend Decomposition Using Loess Forecasting Model for Monthly Car Crashes (Without Pandemic Data)") +
xlab("Year") + ylab("Crashes") +
scale_x_continuous(breaks = c(1,2,3,4,5,6,7, 8),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021", "Jan 2022")) +
theme(axis.text.x = element_text(angle = 90))## Scale for 'x' is already present. Adding another scale for 'x', which will
## replace the existing scale.
q %>% summary()##
## Forecast method: STL + ETS(A,N,N)
##
## Model Information:
## ETS(A,N,N)
##
## Call:
## ets(y = na.interp(x), model = etsmodel, allow.multiplicative.trend = allow.multiplicative.trend)
##
## Smoothing parameters:
## alpha = 0.2959
##
## Initial states:
## l = 7.5924
##
## sigma: 0.0363
##
## AIC AICc BIC
## -151.1760 -150.7622 -144.7946
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set 13.67864 72.68323 56.97706 0.5405856 2.731655 0.5908032 -0.1691508
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## Mar 6 2217.168 2116.268 2322.880 2064.726 2380.866
## Apr 6 2226.153 2120.606 2336.953 2066.773 2397.823
## May 6 2258.739 2147.526 2375.712 2090.887 2440.067
## Jun 6 2156.323 2046.368 2272.185 1990.450 2336.018
## Jul 6 2051.129 1943.069 2165.199 1888.189 2228.130
## Aug 6 2268.149 2144.947 2398.427 2082.461 2470.395
## Sep 6 2169.823 2048.527 2298.301 1987.087 2369.364
## Oct 6 2572.036 2424.306 2728.768 2349.569 2815.567
## Nov 6 2323.465 2186.545 2468.958 2117.361 2549.630
## Dec 6 2334.350 2193.400 2484.357 2122.264 2567.630
## Jan 7 2084.437 1955.628 2221.730 1890.695 2298.032
## Feb 7 1978.184 1853.211 2111.584 1790.283 2185.806
## Mar 7 2217.168 2074.110 2370.094 2002.155 2455.272
## Apr 7 2226.153 2079.583 2383.053 2005.941 2470.540
## May 7 2258.739 2107.113 2421.277 2031.012 2512.001
## Jun 7 2156.323 2008.850 2314.621 1934.911 2403.070
## Jul 7 2051.129 1908.315 2204.631 1836.784 2290.487
## Aug 7 2268.149 2107.474 2441.074 2027.078 2537.889
## Sep 7 2169.823 2013.532 2338.246 1935.406 2432.633
## Oct 7 2572.036 2383.768 2775.172 2289.750 2889.123
## Nov 7 2323.465 2150.725 2510.078 2064.543 2614.858
## Dec 7 2334.350 2158.167 2524.915 2070.350 2632.013
## Jan 8 2084.437 1924.803 2257.310 1845.308 2354.554
## Feb 8 1978.184 1824.527 2144.781 1748.078 2238.579
## Mar 8 2217.168 2042.565 2406.697 1955.773 2513.501Advanced Forecasting Methods
Neural Network Autoregression Forecasting Model of Daily Crashes (With Pandemic Data)
fit.nnetar <- nnetar(crashests2, lambda=0)
summary(fit.nnetar)## Length Class Mode
## x 2343 ts numeric
## m 1 -none- numeric
## p 1 -none- numeric
## P 1 -none- numeric
## scalex 2 -none- list
## size 1 -none- numeric
## lambda 1 -none- numeric
## subset 2343 -none- numeric
## model 20 nnetarmodels list
## nnetargs 0 -none- list
## fitted 2343 ts numeric
## residuals 2343 ts numeric
## lags 31 -none- numeric
## series 1 -none- character
## method 1 -none- character
## call 3 -none- callforecast(fit.nnetar, h=700)## Point Forecast
## 2021.4192 46.63811
## 2021.4219 39.18788
## 2021.4247 34.50760
## 2021.4274 54.07035
## 2021.4301 62.55379
## 2021.4329 42.69734
## 2021.4356 39.28121
## 2021.4384 57.58620
## 2021.4411 42.82020
## 2021.4438 45.06964
## 2021.4466 55.56285
## 2021.4493 52.57791
## 2021.4521 35.31975
## 2021.4548 36.42134
## 2021.4575 53.62964
## 2021.4603 38.48754
## 2021.4630 31.78348
## 2021.4658 49.04708
## 2021.4685 51.94640
## 2021.4712 43.79539
## 2021.4740 42.20781
## 2021.4767 52.00280
## 2021.4795 39.50356
## 2021.4822 42.52678
## 2021.4849 48.32680
## 2021.4877 45.18897
## 2021.4904 33.29429
## 2021.4932 32.25344
## 2021.4959 40.88018
## 2021.4986 29.12583
## 2021.5014 23.93299
## 2021.5041 33.11191
## 2021.5068 32.95847
## 2021.5096 23.77981
## 2021.5123 30.00535
## 2021.5151 37.05331
## 2021.5178 26.77389
## 2021.5205 24.46005
## 2021.5233 28.49916
## 2021.5260 23.39016
## 2021.5288 15.48451
## 2021.5315 15.74279
## 2021.5342 23.57357
## 2021.5370 19.46050
## 2021.5397 18.48227
## 2021.5425 24.01584
## 2021.5452 22.06048
## 2021.5479 16.26751
## 2021.5507 18.00252
## 2021.5534 19.92825
## 2021.5562 16.57886
## 2021.5589 15.54370
## 2021.5616 18.76132
## 2021.5644 15.97573
## 2021.5671 14.45277
## 2021.5699 16.41539
## 2021.5726 20.51504
## 2021.5753 17.89468
## 2021.5781 17.24100
## 2021.5808 20.32875
## 2021.5836 18.13452
## 2021.5863 16.69135
## 2021.5890 17.31228
## 2021.5918 17.60680
## 2021.5945 15.72627
## 2021.5973 15.46282
## 2021.6000 18.46415
## 2021.6027 17.79319
## 2021.6055 16.95167
## 2021.6082 18.53016
## 2021.6110 18.55460
## 2021.6137 17.03798
## 2021.6164 16.46427
## 2021.6192 17.78371
## 2021.6219 16.45190
## 2021.6247 15.32341
## 2021.6274 16.40696
## 2021.6301 17.80903
## 2021.6329 17.36278
## 2021.6356 17.81049
## 2021.6384 19.17517
## 2021.6411 17.94859
## 2021.6438 18.18685
## 2021.6466 18.56395
## 2021.6493 19.68706
## 2021.6521 18.49498
## 2021.6548 16.77272
## 2021.6575 17.96339
## 2021.6603 17.30854
## 2021.6630 16.38803
## 2021.6658 17.04131
## 2021.6685 18.81238
## 2021.6712 17.11554
## 2021.6740 16.78198
## 2021.6767 17.62088
## 2021.6795 16.61567
## 2021.6822 15.33533
## 2021.6849 17.38656
## 2021.6877 19.07389
## 2021.6904 21.33860
## 2021.6932 19.64364
## 2021.6959 22.79460
## 2021.6986 21.23741
## 2021.7014 19.44018
## 2021.7041 19.02326
## 2021.7068 20.28125
## 2021.7096 19.35963
## 2021.7123 18.10839
## 2021.7151 17.05192
## 2021.7178 15.42683
## 2021.7205 15.12921
## 2021.7233 15.64440
## 2021.7260 17.61547
## 2021.7288 17.27559
## 2021.7315 17.21139
## 2021.7342 17.47145
## 2021.7370 18.01004
## 2021.7397 15.86818
## 2021.7425 17.05292
## 2021.7452 19.74452
## 2021.7479 19.25979
## 2021.7507 18.98916
## 2021.7534 18.56941
## 2021.7562 18.72657
## 2021.7589 19.06103
## 2021.7616 19.00412
## 2021.7644 19.78403
## 2021.7671 17.98100
## 2021.7699 16.81051
## 2021.7726 16.31412
## 2021.7753 16.47950
## 2021.7781 15.94815
## 2021.7808 15.91884
## 2021.7836 17.51960
## 2021.7863 15.66411
## 2021.7890 17.71495
## 2021.7918 17.16166
## 2021.7945 18.26108
## 2021.7973 21.71965
## 2021.8000 25.25359
## 2021.8027 29.07495
## 2021.8055 28.94073
## 2021.8082 29.82770
## 2021.8110 26.93396
## 2021.8137 25.76744
## 2021.8164 22.22156
## 2021.8192 23.38931
## 2021.8219 21.48328
## 2021.8247 18.31599
## 2021.8274 17.92048
## 2021.8301 17.08643
## 2021.8329 16.97849
## 2021.8356 21.58813
## 2021.8384 26.13231
## 2021.8411 24.87412
## 2021.8438 24.49419
## 2021.8466 23.13114
## 2021.8493 23.05062
## 2021.8521 22.19335
## 2021.8548 21.64636
## 2021.8575 25.78826
## 2021.8603 26.32276
## 2021.8630 22.29941
## 2021.8658 24.00956
## 2021.8685 20.46953
## 2021.8712 18.62650
## 2021.8740 17.95975
## 2021.8767 17.79538
## 2021.8795 17.37199
## 2021.8822 15.04816
## 2021.8849 13.55038
## 2021.8877 13.36885
## 2021.8904 12.52775
## 2021.8932 13.87060
## 2021.8959 18.01656
## 2021.8986 22.06921
## 2021.9014 22.04278
## 2021.9041 23.12983
## 2021.9068 23.67222
## 2021.9096 26.26876
## 2021.9123 24.59982
## 2021.9151 23.37580
## 2021.9178 24.25614
## 2021.9205 20.52313
## 2021.9233 18.69790
## 2021.9260 17.87384
## 2021.9288 17.73552
## 2021.9315 18.04307
## 2021.9342 18.95765
## 2021.9370 19.36450
## 2021.9397 17.11332
## 2021.9425 15.75374
## 2021.9452 14.55726
## 2021.9479 13.83121
## 2021.9507 13.73297
## 2021.9534 17.77810
## 2021.9562 21.86169
## 2021.9589 21.99394
## 2021.9616 22.91953
## 2021.9644 23.00168
## 2021.9671 22.99586
## 2021.9699 22.60001
## 2021.9726 21.63938
## 2021.9753 22.18850
## 2021.9781 19.57958
## 2021.9808 17.32239
## 2021.9836 15.98015
## 2021.9863 14.62926
## 2021.9890 21.42839
## 2021.9918 22.22832
## 2021.9945 24.60576
## 2021.9973 20.92956
## 2022.0000 20.81235
## 2022.0027 20.85514
## 2022.0055 18.04528
## 2022.0082 18.63207
## 2022.0110 21.14213
## 2022.0137 23.21581
## 2022.0164 21.34349
## 2022.0192 21.75398
## 2022.0219 22.54940
## 2022.0247 22.86232
## 2022.0274 23.07779
## 2022.0301 21.34780
## 2022.0329 21.66074
## 2022.0356 19.47641
## 2022.0384 17.04553
## 2022.0411 16.34495
## 2022.0438 15.36471
## 2022.0466 15.14832
## 2022.0493 16.55026
## 2022.0521 18.87975
## 2022.0548 19.31753
## 2022.0575 19.96906
## 2022.0603 20.13647
## 2022.0630 22.00797
## 2022.0658 19.16738
## 2022.0685 18.31761
## 2022.0712 19.26270
## 2022.0740 18.16782
## 2022.0767 16.48102
## 2022.0795 16.56006
## 2022.0822 19.33328
## 2022.0849 18.90807
## 2022.0877 18.38886
## 2022.0904 19.18926
## 2022.0932 18.10444
## 2022.0959 18.11237
## 2022.0986 16.19862
## 2022.1014 15.67232
## 2022.1041 14.30491
## 2022.1068 13.90630
## 2022.1096 17.88665
## 2022.1123 16.47865
## 2022.1151 18.45844
## 2022.1178 20.28721
## 2022.1205 20.18849
## 2022.1233 19.08005
## 2022.1260 17.66414
## 2022.1288 18.70344
## 2022.1315 17.63489
## 2022.1342 15.78184
## 2022.1370 15.24338
## 2022.1397 16.15939
## 2022.1425 15.85072
## 2022.1452 16.83973
## 2022.1479 21.37411
## 2022.1507 18.03333
## 2022.1534 17.80497
## 2022.1562 16.92909
## 2022.1589 17.09065
## 2022.1616 15.55888
## 2022.1644 15.82556
## 2022.1671 17.58595
## 2022.1699 18.93259
## 2022.1726 17.84480
## 2022.1753 17.57298
## 2022.1781 19.80457
## 2022.1808 19.29792
## 2022.1836 20.74429
## 2022.1863 21.83005
## 2022.1890 19.22015
## 2022.1918 20.66130
## 2022.1945 23.60534
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## 2022.2000 27.76658
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## 2022.2219 18.14553
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## 2022.2356 19.50884
## 2022.2384 19.93866
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## 2022.2438 24.71262
## 2022.2466 21.97734
## 2022.2493 21.30870
## 2022.2521 20.20734
## 2022.2548 19.49142
## 2022.2575 18.16556
## 2022.2603 19.45047
## 2022.2630 19.65622
## 2022.2658 19.40235
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## 2022.2712 17.20847
## 2022.2740 16.11289
## 2022.2767 14.56224
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## 2022.2877 13.61270
## 2022.2904 13.24005
## 2022.2932 13.65002
## 2022.2959 13.25005
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## 2022.3014 21.09245
## 2022.3041 22.12320
## 2022.3068 24.60308
## 2022.3096 23.18066
## 2022.3123 22.42912
## 2022.3151 20.85939
## 2022.3178 19.40175
## 2022.3205 20.19213
## 2022.3233 19.04536
## 2022.3260 23.10007
## 2022.3288 30.71872
## 2022.3315 24.43110
## 2022.3342 21.84471
## 2022.3370 21.20097
## 2022.3397 19.98405
## 2022.3425 18.03956
## 2022.3452 17.41794
## 2022.3479 17.50942
## 2022.3507 14.99533
## 2022.3534 13.89203
## 2022.3562 14.78435
## 2022.3589 19.81122
## 2022.3616 22.72014
## 2022.3644 27.64730
## 2022.3671 31.26390
## 2022.3699 26.30015
## 2022.3726 24.94472
## 2022.3753 26.24691
## 2022.3781 26.10038
## 2022.3808 23.64760
## 2022.3836 22.34231
## 2022.3863 25.15601
## 2022.3890 22.42745
## 2022.3918 18.82545
## 2022.3945 20.33922
## 2022.3973 20.62939
## 2022.4000 17.83451
## 2022.4027 18.12799
## 2022.4055 17.96264
## 2022.4082 14.17260
## 2022.4110 13.13059
## 2022.4137 14.62795
## 2022.4164 19.20036
## 2022.4192 20.43360
## 2022.4219 25.56688
## 2022.4247 30.36285
## 2022.4274 27.52509
## 2022.4301 25.45970
## 2022.4329 27.91978
## 2022.4356 27.49185
## 2022.4384 23.74163
## 2022.4411 23.17718
## 2022.4438 21.81269
## 2022.4466 18.42854
## 2022.4493 17.46281
## 2022.4521 19.29423
## 2022.4548 20.44456
## 2022.4575 18.29693
## 2022.4603 19.23989
## 2022.4630 20.24301
## 2022.4658 17.09764
## 2022.4685 16.13248
## 2022.4712 17.23006
## 2022.4740 18.57216
## 2022.4767 18.53258
## 2022.4795 23.23984
## 2022.4822 26.01198
## 2022.4849 25.08408
## 2022.4877 25.23184
## 2022.4904 27.85264
## 2022.4932 27.95258
## 2022.4959 24.43199
## 2022.4986 23.85354
## 2022.5014 24.60611
## 2022.5041 21.31202
## 2022.5068 19.85851
## 2022.5096 21.42019
## 2022.5123 20.50489
## 2022.5151 18.61649
## 2022.5178 20.50866
## 2022.5205 21.16679
## 2022.5233 20.02688
## 2022.5260 21.23588
## 2022.5288 25.42351
## 2022.5315 26.35844
## 2022.5342 24.09470
## 2022.5370 26.97987
## 2022.5397 28.84967
## 2022.5425 27.42112
## 2022.5452 27.07427
## 2022.5479 29.78126
## 2022.5507 31.53272
## 2022.5534 30.32172
## 2022.5562 31.13810
## 2022.5589 30.77275
## 2022.5616 30.20208
## 2022.5644 29.53839
## 2022.5671 29.92874
## 2022.5699 29.66238
## 2022.5726 26.62460
## 2022.5753 27.33863
## 2022.5781 27.17299
## 2022.5808 26.37243
## 2022.5836 27.74159
## 2022.5863 30.98278
## 2022.5890 31.35750
## 2022.5918 30.56848
## 2022.5945 32.56509
## 2022.5973 32.09290
## 2022.6000 30.34205
## 2022.6027 30.29566
## 2022.6055 32.39514
## 2022.6082 32.17901
## 2022.6110 30.44402
## 2022.6137 32.19435
## 2022.6164 31.89370
## 2022.6192 30.31132
## 2022.6219 30.57616
## 2022.6247 32.19116
## 2022.6274 30.93324
## 2022.6301 28.50765
## 2022.6329 28.80340
## 2022.6356 27.92969
## 2022.6384 26.73780
## 2022.6411 27.77783
## 2022.6438 30.42075
## 2022.6466 30.68032
## 2022.6493 29.21325
## 2022.6521 30.99458
## 2022.6548 31.02463
## 2022.6575 29.55350
## 2022.6603 29.93164
## 2022.6630 31.17432
## 2022.6658 30.59571
## 2022.6685 28.64850
## 2022.6712 29.81830
## 2022.6740 29.83286
## 2022.6767 29.14009
## 2022.6795 29.70075
## 2022.6822 31.78560
## 2022.6849 30.20740
## 2022.6877 28.07117
## 2022.6904 27.09623
## 2022.6932 26.35686
## 2022.6959 24.43819
## 2022.6986 24.83931
## 2022.7014 27.79120
## 2022.7041 28.72063
## 2022.7068 27.99006
## 2022.7096 29.37486
## 2022.7123 29.48090
## 2022.7151 28.96793
## 2022.7178 29.53549
## 2022.7205 31.05175
## 2022.7233 30.56235
## 2022.7260 28.62726
## 2022.7288 29.11446
## 2022.7315 29.27687
## 2022.7342 29.28199
## 2022.7370 29.12675
## 2022.7397 31.81424
## 2022.7425 30.48770
## 2022.7452 27.90587
## 2022.7479 27.72912
## 2022.7507 27.30883
## 2022.7534 27.01329
## 2022.7562 27.09790
## 2022.7589 29.03550
## 2022.7616 29.65286
## 2022.7644 28.11179
## 2022.7671 29.55443
## 2022.7699 29.95688
## 2022.7726 29.63100
## 2022.7753 29.72534
## 2022.7781 31.41823
## 2022.7808 30.73367
## 2022.7836 29.08795
## 2022.7863 30.08124
## 2022.7890 29.58898
## 2022.7918 29.75026
## 2022.7945 29.31242
## 2022.7973 29.27345
## 2022.8000 26.40904
## 2022.8027 22.02219
## 2022.8055 20.16153
## 2022.8082 18.75452
## 2022.8110 18.82063
## 2022.8137 21.73886
## 2022.8164 27.20044
## 2022.8192 28.66364
## 2022.8219 28.84577
## 2022.8247 30.13800
## 2022.8274 29.87282
## 2022.8301 28.86281
## 2022.8329 28.30721
## 2022.8356 28.58917
## 2022.8384 26.09018
## 2022.8411 23.71787
## 2022.8438 23.95851
## 2022.8466 25.30725
## 2022.8493 25.82049
## 2022.8521 27.46053
## 2022.8548 29.14085
## 2022.8575 24.83558
## 2022.8603 23.68232
## 2022.8630 23.58727
## 2022.8658 21.38068
## 2022.8685 21.44865
## 2022.8712 24.69658
## 2022.8740 28.80390
## 2022.8767 30.66811
## 2022.8795 30.41040
## 2022.8822 33.00335
## 2022.8849 33.63116
## 2022.8877 32.50571
## 2022.8904 33.58707
## 2022.8932 34.42208
## 2022.8959 31.88225
## 2022.8986 29.30903
## 2022.9014 27.73449
## 2022.9041 26.81568
## 2022.9068 26.27387
## 2022.9096 26.36651
## 2022.9123 27.48277
## 2022.9151 25.55594
## 2022.9178 23.48963
## 2022.9205 25.80605
## 2022.9233 25.95735
## 2022.9260 26.10614
## 2022.9288 29.47621
## 2022.9315 31.13582
## 2022.9342 31.23080
## 2022.9370 30.34434
## 2022.9397 31.68942
## 2022.9425 32.39916
## 2022.9452 33.07255
## 2022.9479 34.81649
## 2022.9507 36.69391
## 2022.9534 33.65689
## 2022.9562 31.22215
## 2022.9589 30.03221
## 2022.9616 27.67694
## 2022.9644 26.34367
## 2022.9671 27.29830
## 2022.9699 28.11511
## 2022.9726 26.92858
## 2022.9753 24.96622
## 2022.9781 26.34701
## 2022.9808 26.63897
## 2022.9836 28.03821
## 2022.9863 32.06479
## 2022.9890 32.24881
## 2022.9918 30.14842
## 2022.9945 28.69961
## 2022.9973 29.52312
## 2023.0000 29.05041
## 2023.0027 28.84086
## 2023.0055 32.27748
## 2023.0082 33.18045
## 2023.0110 29.55117
## 2023.0137 28.31978
## 2023.0164 28.95594
## 2023.0192 28.24169
## 2023.0219 26.09277
## 2023.0247 27.68485
## 2023.0274 27.95974
## 2023.0301 25.89739
## 2023.0329 24.43048
## 2023.0356 25.53781
## 2023.0384 26.19971
## 2023.0411 27.62039
## 2023.0438 32.00023
## 2023.0466 33.45392
## 2023.0493 31.18657
## 2023.0521 30.31408
## 2023.0548 30.88658
## 2023.0575 29.82645
## 2023.0603 29.31636
## 2023.0630 30.60292
## 2023.0658 31.43922
## 2023.0685 29.64754
## 2023.0712 29.45544
## 2023.0740 30.35370
## 2023.0767 31.11991
## 2023.0795 30.59629
## 2023.0822 31.61984
## 2023.0849 30.16792
## 2023.0877 27.95921
## 2023.0904 27.22361
## 2023.0932 26.97284
## 2023.0959 26.75108
## 2023.0986 29.00858
## 2023.1014 32.69427
## 2023.1041 34.42020
## 2023.1068 33.86168
## 2023.1096 32.70573
## 2023.1123 32.72426
## 2023.1151 30.41771
## 2023.1178 29.20564
## 2023.1205 30.46909
## 2023.1233 30.10750
## 2023.1260 29.59198
## 2023.1288 29.28365
## 2023.1315 29.61936
## 2023.1342 30.60920
## 2023.1370 31.39837
## 2023.1397 32.62004
## 2023.1425 31.99957
## 2023.1452 30.04402
## 2023.1479 27.76883
## 2023.1507 27.43476
## 2023.1534 27.39115
## 2023.1562 29.37978
## 2023.1589 32.75714
## 2023.1616 34.35737
## 2023.1644 33.34041
## 2023.1671 32.32470
## 2023.1699 32.03641
## 2023.1726 31.13597
## 2023.1753 30.40686
## 2023.1781 30.38348
## 2023.1808 30.21926
## 2023.1836 28.33945
## 2023.1863 26.88957
## 2023.1890 27.38851
## 2023.1918 26.50045
## 2023.1945 25.93027
## 2023.1973 26.08568
## 2023.2000 24.81188
## 2023.2027 22.52912
## 2023.2055 19.59774
## 2023.2082 19.82204
## 2023.2110 20.74261
## 2023.2137 22.85500
## 2023.2164 26.94429
## 2023.2192 29.59019
## 2023.2219 29.30822
## 2023.2247 29.46285
## 2023.2274 31.26525
## 2023.2301 30.76139
## 2023.2329 30.56655
## 2023.2356 30.65295
## 2023.2384 30.02768
## 2023.2411 27.61076
## 2023.2438 24.96440
## 2023.2466 25.15705
## 2023.2493 26.23307
## 2023.2521 26.28646
## 2023.2548 29.32375
## 2023.2575 29.41309
## 2023.2603 26.50954
## 2023.2630 26.03527
## 2023.2658 25.54904
## 2023.2685 24.70090
## 2023.2712 25.86474
## 2023.2740 29.43965
## 2023.2767 33.42711
## 2023.2795 32.81628
## 2023.2822 33.06465
## 2023.2849 35.10065
## 2023.2877 34.48507
## 2023.2904 33.32995
## 2023.2932 35.63587
## 2023.2959 35.12943
## 2023.2986 32.27339
## 2023.3014 29.44491
## 2023.3041 27.91567
## 2023.3068 26.93573
## 2023.3096 25.82767
## 2023.3123 28.24004
## 2023.3151 30.58551
## 2023.3178 29.20942
## 2023.3205 28.24163
## 2023.3233 29.59200
## 2023.3260 27.85800
## 2023.3288 24.32084
## 2023.3315 26.32248
## 2023.3342 28.44601autoplot(forecast(fit.nnetar,h=700,lambda=0)) +
ggtitle("Neural Network Autoregression Forecasting Model of Daily Crashes (With Pandemic Data)")
Neural Network Autoregression Forecasting Model of Daily Crashes (Without Pandemic Data)
fit.nnetar.noncovid <- nnetar(crashests.noncovid, lambda=0)
summary(fit.nnetar.noncovid)## Length Class Mode
## x 1884 ts numeric
## m 1 -none- numeric
## p 1 -none- numeric
## P 1 -none- numeric
## scalex 2 -none- list
## size 1 -none- numeric
## lambda 1 -none- numeric
## subset 1884 -none- numeric
## model 20 nnetarmodels list
## nnetargs 0 -none- list
## fitted 1884 ts numeric
## residuals 1884 ts numeric
## lags 29 -none- numeric
## series 1 -none- character
## method 1 -none- character
## call 3 -none- callforecast(fit.nnetar.noncovid, h=700)## Point Forecast
## 2020.1616 77.04573
## 2020.1644 60.94922
## 2020.1671 59.87639
## 2020.1699 75.68645
## 2020.1726 69.92075
## 2020.1753 78.82208
## 2020.1781 72.79451
## 2020.1808 71.53118
## 2020.1836 61.71133
## 2020.1863 46.33741
## 2020.1890 67.96622
## 2020.1918 66.84466
## 2020.1945 78.02928
## 2020.1973 72.34191
## 2020.2000 86.45833
## 2020.2027 65.90561
## 2020.2055 57.17899
## 2020.2082 79.84267
## 2020.2110 80.54062
## 2020.2137 76.90072
## 2020.2164 78.41909
## 2020.2192 101.06887
## 2020.2219 70.34111
## 2020.2247 49.64759
## 2020.2274 75.60063
## 2020.2301 76.62892
## 2020.2329 80.69303
## 2020.2356 76.11607
## 2020.2384 93.41530
## 2020.2411 63.23933
## 2020.2438 53.05972
## 2020.2466 76.49118
## 2020.2493 82.88046
## 2020.2521 80.24416
## 2020.2548 80.11205
## 2020.2575 97.06480
## 2020.2603 68.09836
## 2020.2630 53.57693
## 2020.2658 77.93269
## 2020.2685 77.43473
## 2020.2712 81.16360
## 2020.2740 72.91241
## 2020.2767 87.60822
## 2020.2795 66.69570
## 2020.2822 53.30600
## 2020.2849 77.36029
## 2020.2877 85.14296
## 2020.2904 85.49455
## 2020.2932 75.16110
## 2020.2959 94.31097
## 2020.2986 64.09784
## 2020.3014 47.75578
## 2020.3041 65.23838
## 2020.3068 80.18383
## 2020.3096 86.12214
## 2020.3123 71.89492
## 2020.3151 87.37506
## 2020.3178 61.89629
## 2020.3205 48.81321
## 2020.3233 71.99638
## 2020.3260 83.97070
## 2020.3288 83.67479
## 2020.3315 73.74991
## 2020.3342 86.63623
## 2020.3370 68.33356
## 2020.3397 55.36511
## 2020.3425 81.46941
## 2020.3452 83.75648
## 2020.3479 81.29266
## 2020.3507 74.54569
## 2020.3534 90.10826
## 2020.3562 67.18063
## 2020.3589 54.04458
## 2020.3616 80.55049
## 2020.3644 85.46652
## 2020.3671 85.82728
## 2020.3699 77.33704
## 2020.3726 95.71200
## 2020.3753 64.89462
## 2020.3781 53.16127
## 2020.3808 76.27887
## 2020.3836 83.80243
## 2020.3863 89.03981
## 2020.3890 77.78776
## 2020.3918 94.03495
## 2020.3945 68.55278
## 2020.3973 50.60150
## 2020.4000 66.74128
## 2020.4027 60.48673
## 2020.4055 82.96384
## 2020.4082 70.43231
## 2020.4110 93.55222
## 2020.4137 65.59759
## 2020.4164 52.25232
## 2020.4192 71.23780
## 2020.4219 80.65132
## 2020.4247 83.15981
## 2020.4274 74.92137
## 2020.4301 84.38842
## 2020.4329 64.28957
## 2020.4356 51.77766
## 2020.4384 80.49411
## 2020.4411 81.43209
## 2020.4438 85.10145
## 2020.4466 74.92295
## 2020.4493 87.46590
## 2020.4521 60.38456
## 2020.4548 47.36352
## 2020.4575 68.50660
## 2020.4603 77.44713
## 2020.4630 80.22339
## 2020.4658 71.45952
## 2020.4685 88.51167
## 2020.4712 63.35657
## 2020.4740 51.43987
## 2020.4767 70.24989
## 2020.4795 75.54203
## 2020.4822 82.49840
## 2020.4849 70.30607
## 2020.4877 94.78805
## 2020.4904 66.78060
## 2020.4932 52.85167
## 2020.4959 80.51108
## 2020.4986 81.89519
## 2020.5014 82.96890
## 2020.5041 74.57548
## 2020.5068 87.70162
## 2020.5096 63.65835
## 2020.5123 48.16286
## 2020.5151 72.34394
## 2020.5178 81.40874
## 2020.5205 80.87222
## 2020.5233 76.90150
## 2020.5260 94.53679
## 2020.5288 59.51813
## 2020.5315 46.81700
## 2020.5342 70.75497
## 2020.5370 79.52363
## 2020.5397 81.83551
## 2020.5425 73.33679
## 2020.5452 89.85014
## 2020.5479 63.80243
## 2020.5507 52.50950
## 2020.5534 77.70385
## 2020.5562 82.67598
## 2020.5589 83.31630
## 2020.5616 72.79528
## 2020.5644 92.95725
## 2020.5671 64.60234
## 2020.5699 49.95106
## 2020.5726 77.76227
## 2020.5753 78.75816
## 2020.5781 84.28765
## 2020.5808 71.55644
## 2020.5836 93.31835
## 2020.5863 61.98249
## 2020.5890 51.05258
## 2020.5918 70.90504
## 2020.5945 81.25195
## 2020.5973 79.89921
## 2020.6000 72.90003
## 2020.6027 95.59196
## 2020.6055 66.10659
## 2020.6082 49.79864
## 2020.6110 73.29450
## 2020.6137 82.39875
## 2020.6164 86.96116
## 2020.6192 74.42085
## 2020.6219 87.41464
## 2020.6247 66.34476
## 2020.6274 52.29859
## 2020.6301 76.40634
## 2020.6329 82.07117
## 2020.6356 84.06909
## 2020.6384 76.21225
## 2020.6411 92.26915
## 2020.6438 66.90259
## 2020.6466 57.49406
## 2020.6493 76.00937
## 2020.6521 81.47409
## 2020.6548 84.76037
## 2020.6575 72.11031
## 2020.6603 92.27967
## 2020.6630 69.91511
## 2020.6658 53.60980
## 2020.6685 78.96303
## 2020.6712 71.35784
## 2020.6740 88.00189
## 2020.6767 76.10954
## 2020.6795 87.14090
## 2020.6822 65.42329
## 2020.6849 53.74310
## 2020.6877 73.91233
## 2020.6904 84.23533
## 2020.6932 83.37297
## 2020.6959 77.37534
## 2020.6986 101.64655
## 2020.7014 67.55832
## 2020.7041 55.17307
## 2020.7068 80.70840
## 2020.7096 82.73229
## 2020.7123 88.99064
## 2020.7151 73.81346
## 2020.7178 98.22671
## 2020.7205 69.50970
## 2020.7233 57.13860
## 2020.7260 81.35025
## 2020.7288 87.16281
## 2020.7315 87.33456
## 2020.7342 75.01042
## 2020.7370 98.79936
## 2020.7397 67.05147
## 2020.7425 59.22886
## 2020.7452 81.02933
## 2020.7479 84.58600
## 2020.7507 85.24786
## 2020.7534 75.68104
## 2020.7562 100.48155
## 2020.7589 69.93643
## 2020.7616 55.63923
## 2020.7644 77.59236
## 2020.7671 85.22465
## 2020.7699 88.70252
## 2020.7726 74.63870
## 2020.7753 93.01243
## 2020.7781 70.36878
## 2020.7808 55.23983
## 2020.7836 79.77610
## 2020.7863 86.89409
## 2020.7890 87.50088
## 2020.7918 74.95258
## 2020.7945 92.96693
## 2020.7973 74.31313
## 2020.8000 58.42824
## 2020.8027 80.85711
## 2020.8055 90.45092
## 2020.8082 86.76289
## 2020.8110 70.86841
## 2020.8137 97.67577
## 2020.8164 68.50444
## 2020.8192 57.63006
## 2020.8219 79.56806
## 2020.8247 89.95845
## 2020.8274 87.76062
## 2020.8301 73.64019
## 2020.8329 94.68818
## 2020.8356 75.29135
## 2020.8384 56.26442
## 2020.8411 77.72404
## 2020.8438 91.11464
## 2020.8466 88.26649
## 2020.8493 76.80802
## 2020.8521 99.44121
## 2020.8548 75.44706
## 2020.8575 55.66398
## 2020.8603 75.03600
## 2020.8630 85.61245
## 2020.8658 88.05866
## 2020.8685 76.30092
## 2020.8712 89.64814
## 2020.8740 77.95634
## 2020.8767 55.75298
## 2020.8795 69.82684
## 2020.8822 86.80269
## 2020.8849 87.51116
## 2020.8877 74.06477
## 2020.8904 94.04787
## 2020.8932 71.26216
## 2020.8959 57.28709
## 2020.8986 75.12475
## 2020.9014 87.19897
## 2020.9041 86.99969
## 2020.9068 75.20943
## 2020.9096 70.08971
## 2020.9123 60.33649
## 2020.9151 51.37849
## 2020.9178 71.09995
## 2020.9205 87.14737
## 2020.9233 89.39020
## 2020.9260 82.58349
## 2020.9288 95.48206
## 2020.9315 70.05867
## 2020.9342 58.89683
## 2020.9370 79.56998
## 2020.9397 83.86080
## 2020.9425 81.42556
## 2020.9452 67.94978
## 2020.9479 90.22405
## 2020.9507 74.72472
## 2020.9534 58.23412
## 2020.9562 79.57409
## 2020.9589 87.94643
## 2020.9616 88.55055
## 2020.9644 76.79887
## 2020.9671 97.02314
## 2020.9699 71.08622
## 2020.9726 54.35943
## 2020.9753 85.01376
## 2020.9781 89.33551
## 2020.9808 83.59414
## 2020.9836 60.49612
## 2020.9863 69.49238
## 2020.9890 58.33250
## 2020.9918 43.85262
## 2020.9945 55.28396
## 2020.9973 77.28211
## 2021.0000 75.76514
## 2021.0027 68.11370
## 2021.0055 83.38649
## 2021.0082 63.60831
## 2021.0110 49.51219
## 2021.0137 69.86436
## 2021.0164 83.32660
## 2021.0192 78.53200
## 2021.0219 71.56023
## 2021.0247 80.63197
## 2021.0274 69.63231
## 2021.0301 51.59324
## 2021.0329 76.41299
## 2021.0356 83.24215
## 2021.0384 84.56823
## 2021.0411 78.43891
## 2021.0438 83.38060
## 2021.0466 66.08113
## 2021.0493 51.24607
## 2021.0521 71.10660
## 2021.0548 75.98633
## 2021.0575 78.49679
## 2021.0603 77.16217
## 2021.0630 95.51754
## 2021.0658 65.99821
## 2021.0685 55.19454
## 2021.0712 71.87160
## 2021.0740 81.89586
## 2021.0767 84.27474
## 2021.0795 74.13710
## 2021.0822 93.26366
## 2021.0849 68.59016
## 2021.0877 51.73507
## 2021.0904 79.55370
## 2021.0932 84.31221
## 2021.0959 82.27351
## 2021.0986 75.47054
## 2021.1014 97.76575
## 2021.1041 67.78805
## 2021.1068 53.28642
## 2021.1096 78.09241
## 2021.1123 83.73459
## 2021.1151 82.76860
## 2021.1178 75.00227
## 2021.1205 95.90296
## 2021.1233 68.76062
## 2021.1260 55.16757
## 2021.1288 76.07609
## 2021.1315 84.36146
## 2021.1342 83.12511
## 2021.1370 71.72116
## 2021.1397 89.17385
## 2021.1425 66.15708
## 2021.1452 54.95705
## 2021.1479 74.51909
## 2021.1507 84.23662
## 2021.1534 87.23484
## 2021.1562 75.23170
## 2021.1589 92.52187
## 2021.1616 67.83515
## 2021.1644 55.10655
## 2021.1671 80.20596
## 2021.1699 86.25529
## 2021.1726 88.14921
## 2021.1753 74.27360
## 2021.1781 88.86051
## 2021.1808 70.52594
## 2021.1836 56.42787
## 2021.1863 73.31722
## 2021.1890 88.17780
## 2021.1918 87.45263
## 2021.1945 73.86166
## 2021.1973 91.72532
## 2021.2000 73.73601
## 2021.2027 56.19373
## 2021.2055 77.69467
## 2021.2082 90.92539
## 2021.2110 89.95207
## 2021.2137 76.07404
## 2021.2164 95.19248
## 2021.2192 75.89360
## 2021.2219 59.00644
## 2021.2247 76.23379
## 2021.2274 89.82617
## 2021.2301 88.34360
## 2021.2329 76.59898
## 2021.2356 97.64629
## 2021.2384 74.89886
## 2021.2411 57.15075
## 2021.2438 75.51846
## 2021.2466 87.89215
## 2021.2493 88.14866
## 2021.2521 77.19295
## 2021.2548 94.80836
## 2021.2575 77.98349
## 2021.2603 56.20440
## 2021.2630 76.04069
## 2021.2658 91.10127
## 2021.2685 86.65317
## 2021.2712 77.33159
## 2021.2740 93.20822
## 2021.2767 74.39921
## 2021.2795 58.70139
## 2021.2822 74.45513
## 2021.2849 89.79908
## 2021.2877 84.83724
## 2021.2904 76.66488
## 2021.2932 92.95175
## 2021.2959 77.60568
## 2021.2986 56.85779
## 2021.3014 74.49119
## 2021.3041 90.54536
## 2021.3068 89.19084
## 2021.3096 76.78838
## 2021.3123 94.06875
## 2021.3151 74.23033
## 2021.3178 57.40306
## 2021.3205 75.42772
## 2021.3233 89.55558
## 2021.3260 86.14559
## 2021.3288 76.43051
## 2021.3315 92.83502
## 2021.3342 77.32885
## 2021.3370 57.08074
## 2021.3397 76.95055
## 2021.3425 88.22325
## 2021.3452 87.96804
## 2021.3479 76.85797
## 2021.3507 93.36144
## 2021.3534 76.47784
## 2021.3562 57.54694
## 2021.3589 76.94344
## 2021.3616 91.78980
## 2021.3644 85.94671
## 2021.3671 77.56657
## 2021.3699 93.04845
## 2021.3726 77.26164
## 2021.3753 59.27443
## 2021.3781 75.90156
## 2021.3808 89.46202
## 2021.3836 88.08482
## 2021.3863 76.62648
## 2021.3890 95.28237
## 2021.3918 77.72841
## 2021.3945 57.46188
## 2021.3973 75.40532
## 2021.4000 89.86318
## 2021.4027 86.78056
## 2021.4055 76.11294
## 2021.4082 91.31162
## 2021.4110 75.91090
## 2021.4137 58.15089
## 2021.4164 74.20157
## 2021.4192 90.19047
## 2021.4219 88.12593
## 2021.4247 76.69523
## 2021.4274 93.93908
## 2021.4301 77.14445
## 2021.4329 56.12977
## 2021.4356 75.44051
## 2021.4384 89.27606
## 2021.4411 88.15332
## 2021.4438 77.34590
## 2021.4466 92.92990
## 2021.4493 77.03512
## 2021.4521 56.90389
## 2021.4548 73.12303
## 2021.4575 88.44465
## 2021.4603 86.42267
## 2021.4630 77.23916
## 2021.4658 92.32775
## 2021.4685 77.72978
## 2021.4712 57.07425
## 2021.4740 75.47076
## 2021.4767 88.60483
## 2021.4795 88.67514
## 2021.4822 79.01654
## 2021.4849 91.83171
## 2021.4877 78.19599
## 2021.4904 60.82350
## 2021.4932 77.12482
## 2021.4959 90.14165
## 2021.4986 86.08857
## 2021.5014 77.61959
## 2021.5041 94.02134
## 2021.5068 75.91057
## 2021.5096 61.62624
## 2021.5123 75.58561
## 2021.5151 90.20232
## 2021.5178 87.48377
## 2021.5205 77.85534
## 2021.5233 94.55119
## 2021.5260 79.91957
## 2021.5288 56.79026
## 2021.5315 74.85318
## 2021.5342 91.93400
## 2021.5370 89.99556
## 2021.5397 77.89237
## 2021.5425 94.10128
## 2021.5452 76.70778
## 2021.5479 56.55110
## 2021.5507 72.54755
## 2021.5534 90.22371
## 2021.5562 88.47311
## 2021.5589 79.14525
## 2021.5616 92.07066
## 2021.5644 77.98007
## 2021.5671 56.20759
## 2021.5699 73.59280
## 2021.5726 86.49024
## 2021.5753 88.19592
## 2021.5781 75.08728
## 2021.5808 87.70416
## 2021.5836 75.14798
## 2021.5863 57.83588
## 2021.5890 74.74929
## 2021.5918 88.72771
## 2021.5945 86.26585
## 2021.5973 79.44492
## 2021.6000 89.97633
## 2021.6027 76.03414
## 2021.6055 60.85027
## 2021.6082 79.45074
## 2021.6110 88.85251
## 2021.6137 89.24840
## 2021.6164 78.32513
## 2021.6192 94.84185
## 2021.6219 75.94898
## 2021.6247 59.50506
## 2021.6274 77.97910
## 2021.6301 89.16352
## 2021.6329 87.30942
## 2021.6356 78.82626
## 2021.6384 93.63660
## 2021.6411 76.50114
## 2021.6438 58.99513
## 2021.6466 77.89156
## 2021.6493 92.68255
## 2021.6521 89.70742
## 2021.6548 78.80094
## 2021.6575 97.62513
## 2021.6603 78.73200
## 2021.6630 57.79386
## 2021.6658 77.92067
## 2021.6685 91.33788
## 2021.6712 87.09516
## 2021.6740 76.40592
## 2021.6767 93.53467
## 2021.6795 76.71944
## 2021.6822 56.93021
## 2021.6849 73.67995
## 2021.6877 88.85051
## 2021.6904 88.36299
## 2021.6932 76.20559
## 2021.6959 93.24907
## 2021.6986 75.03761
## 2021.7014 56.38319
## 2021.7041 76.46109
## 2021.7068 88.06454
## 2021.7096 86.85336
## 2021.7123 74.95361
## 2021.7151 92.06490
## 2021.7178 77.45500
## 2021.7205 58.92070
## 2021.7233 77.14040
## 2021.7260 89.70726
## 2021.7288 87.15257
## 2021.7315 75.82713
## 2021.7342 95.16595
## 2021.7370 76.00657
## 2021.7397 59.73572
## 2021.7425 77.78278
## 2021.7452 92.43134
## 2021.7479 86.99718
## 2021.7507 77.27534
## 2021.7534 92.82716
## 2021.7562 79.89740
## 2021.7589 59.05928
## 2021.7616 75.53740
## 2021.7644 90.94429
## 2021.7671 88.67608
## 2021.7699 77.68622
## 2021.7726 94.81237
## 2021.7753 78.06386
## 2021.7781 58.02824
## 2021.7808 73.91081
## 2021.7836 89.53555
## 2021.7863 87.90714
## 2021.7890 76.30149
## 2021.7918 92.99625
## 2021.7945 78.47465
## 2021.7973 58.11439
## 2021.8000 74.32835
## 2021.8027 88.21762
## 2021.8055 88.16772
## 2021.8082 75.00262
## 2021.8110 92.43980
## 2021.8137 78.56823
## 2021.8164 58.34777
## 2021.8192 74.88789
## 2021.8219 89.95752
## 2021.8247 88.10689
## 2021.8274 77.73146
## 2021.8301 91.32017
## 2021.8329 78.45860
## 2021.8356 60.04927
## 2021.8384 75.34010
## 2021.8411 89.63867
## 2021.8438 87.59517
## 2021.8466 77.97280
## 2021.8493 93.82552
## 2021.8521 81.12837
## 2021.8548 61.22098
## 2021.8575 75.10052
## 2021.8603 89.68761
## 2021.8630 87.79616
## 2021.8658 77.93547
## 2021.8685 92.20050
## 2021.8712 79.33247
## 2021.8740 61.27262
## 2021.8767 75.34951
## 2021.8795 92.67153
## 2021.8822 88.06524
## 2021.8849 77.82253
## 2021.8877 93.24844
## 2021.8904 81.00509
## 2021.8932 60.85496
## 2021.8959 76.18416
## 2021.8986 91.28073
## 2021.9014 89.23498
## 2021.9041 77.33839
## 2021.9068 92.91719
## 2021.9096 74.41048
## 2021.9123 57.22634
## 2021.9151 72.10938
## 2021.9178 90.42958
## 2021.9205 88.86014
## 2021.9233 80.67360
## 2021.9260 93.48500
## 2021.9288 80.11853
## 2021.9315 57.09471
## 2021.9342 75.43218
## 2021.9370 87.36060
## 2021.9397 88.03450
## 2021.9425 75.30713
## 2021.9452 88.42444
## 2021.9479 76.85293
## 2021.9507 60.25703
## 2021.9534 75.65961
## 2021.9562 92.45846
## 2021.9589 85.99456
## 2021.9616 80.79771
## 2021.9644 91.33427
## 2021.9671 77.88074
## 2021.9699 61.79373
## 2021.9726 81.19654
## 2021.9753 90.67785
## 2021.9781 89.26478
## 2021.9808 78.19009
## 2021.9836 89.49952
## 2021.9863 72.22187
## 2021.9890 57.11484
## 2021.9918 69.85080
## 2021.9945 89.30393
## 2021.9973 86.05293
## 2022.0000 81.29112
## 2022.0027 91.68289
## 2022.0055 73.30538
## 2022.0082 54.41175
## 2022.0110 74.29040
## 2022.0137 88.85811
## 2022.0164 89.23739
## 2022.0192 76.05816
## 2022.0219 91.13153
## 2022.0247 75.55995
## 2022.0274 57.22264
## 2022.0301 76.85137
## 2022.0329 90.61144
## 2022.0356 85.69006
## 2022.0384 77.74873
## 2022.0411 91.61133
## 2022.0438 74.35104
## 2022.0466 58.64000
## 2022.0493 80.96503
## 2022.0521 88.69130
## 2022.0548 90.72422
## 2022.0575 78.67348
## 2022.0603 91.29219
## 2022.0630 77.00824
## 2022.0658 57.04528
## 2022.0685 81.85164
## 2022.0712 87.49263
## 2022.0740 87.91187
## 2022.0767 79.33458autoplot(forecast(fit.nnetar.noncovid,h=700,lambda=0)) +
ggtitle("Neural Network Autoregression Forecasting Model of Daily Crashes (Without Pandemic Data)")
Neural Network Autoregression Forecasting Model of Monthly Crashes (With Pandemic Data)
fit.nnetar.monthly <- nnetar(crashes_mts4, lambda=0)
summary(fit.nnetar.monthly)## Length Class Mode
## x 77 ts numeric
## m 1 -none- numeric
## p 1 -none- numeric
## P 1 -none- numeric
## scalex 2 -none- list
## size 1 -none- numeric
## lambda 1 -none- numeric
## subset 77 -none- numeric
## model 20 nnetarmodels list
## nnetargs 0 -none- list
## fitted 77 ts numeric
## residuals 77 ts numeric
## lags 2 -none- numeric
## series 1 -none- character
## method 1 -none- character
## call 3 -none- callforecast(fit.nnetar.monthly, h=20)## Jan Feb Mar Apr May Jun Jul Aug
## 7 1759.328 1729.172 1716.013
## 8 1713.474 1712.122 1722.376 1709.177 1697.003 1681.801 1660.350 1630.147
## 9 1253.299
## Sep Oct Nov Dec
## 7 1704.902 1738.270 1724.433 1714.147
## 8 1586.095 1514.540 1410.225 1304.669
## 9autoplot(forecast(fit.nnetar.monthly,h=20,lambda=0)) +
scale_x_continuous(breaks = c(1,2,3,4,5,6,7, 8, 9),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021", "Jan 2022",
"Jan 2023")) +
theme(axis.text.x = element_text(angle = 90))## Scale for 'x' is already present. Adding another scale for 'x', which will
## replace the existing scale.
Neural Network Autoregression Forecasting Model of Monthly Crashes (Without Pandemic Data)
fit.nnetar.monthly.noncovid <- nnetar(crashes_mts4.noncovid, lambda=0)
summary(fit.nnetar.monthly.noncovid)## Length Class Mode
## x 62 ts numeric
## m 1 -none- numeric
## p 1 -none- numeric
## P 1 -none- numeric
## scalex 2 -none- list
## size 1 -none- numeric
## lambda 1 -none- numeric
## subset 62 -none- numeric
## model 20 nnetarmodels list
## nnetargs 0 -none- list
## fitted 62 ts numeric
## residuals 62 ts numeric
## lags 5 -none- numeric
## series 1 -none- character
## method 1 -none- character
## call 3 -none- callforecast(fit.nnetar.monthly.noncovid, h=25)## Jan Feb Mar Apr May Jun Jul Aug
## 6 2247.570 2283.238 2209.483 2106.993 2024.162 2255.373
## 7 2063.608 1963.789 2256.596 2347.372 2206.145 2133.957 2026.317 2293.893
## 8 2041.301 1951.809 2249.241
## Sep Oct Nov Dec
## 6 2266.853 2652.019 2367.145 2337.551
## 7 2308.170 2625.299 2355.672 2339.312
## 8autoplot(forecast(fit.nnetar.monthly.noncovid,h=25,lambda=0)) +
scale_x_continuous(breaks = c(1,2,3,4,5,6,7, 8),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021", "Jan 2022")) +
theme(axis.text.x = element_text(angle = 90))## Scale for 'x' is already present. Adding another scale for 'x', which will
## replace the existing scale.
Comparing Models
Ending at end of 2019 while predicting and comparing Jan and Feb 2020 daily time series plots with real data.
2015-2019 Daily Time Series
crashes_ts.2019 = crashes %>%
filter(as.Date(crash_date) >= "2015/01/01" & as.Date(crash_date) <= "2019/12/31") %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
group_by(Date) %>%
summarize(count = length(unique(key_crash)))
crashes_ts.2019 %>%
filter(as.Date(Date) >= "2015/01/01") %>%
ggplot(aes(x = as.Date(Date), y = count)) +
geom_line() +
scale_x_date(date_labels = "%m-%Y", date_breaks = "6 month") +
theme(axis.text.x = element_text(angle = 90))
2015-2019 Time Series Forecast of Daily Crashes Using Linear Model
#Converting crashes_ts.2019 to a time series object
crashests.2019 <- ts(crashes_ts.2019$count, start = c(2015,1), end = c(2019,365),
frequency = 365)
#Converting crashes_ts to a time series object
crashests.2019.2 <- as.ts(crashes_ts.noncovid, start = c(2015,1), end = c(2020,365),
frequency = 365)
#Least squares estimation
fit.crashes.2019.2 <- tslm(count ~ Date, data=crashests.2019.2)
summary(fit.crashes.2019.2)##
## Call:
## tslm(formula = count ~ Date, data = crashests.2019.2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -48.121 -11.832 -0.046 10.794 172.355
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.646e+01 8.401e-01 79.113 < 2e-16 ***
## Date 3.358e-03 7.708e-04 4.357 1.39e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 18.24 on 1885 degrees of freedom
## Multiple R-squared: 0.009969, Adjusted R-squared: 0.009444
## F-statistic: 18.98 on 1 and 1885 DF, p-value: 1.391e-05#Fitted values (linear plot through ts)
autoplot(crashests.2019.2[,'count'], series="Data") +
autolayer(fitted(fit.crashes.2019.2), series="Fitted") +
xlab("Date") + ylab("") +
ggtitle("2015-2019 Number of Daily Car Crashes") +
guides(colour=guide_legend(title=" ")) +
scale_x_continuous(breaks = c(0, 365, 731, 1096, 1461, 1826),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020")) +
theme(axis.text.x = element_text(angle = 90))## Scale for 'x' is already present. Adding another scale for 'x', which will
## replace the existing scale.
2015-2019 Time Series Forecast of Daily Crashes Using HoltWinters
twentynineteen <- HoltWinters(crashests.2019)
summary(twentynineteen)## Length Class Mode
## fitted 5840 mts numeric
## x 1825 ts numeric
## alpha 1 -none- numeric
## beta 1 -none- numeric
## gamma 1 -none- numeric
## coefficients 367 -none- numeric
## seasonal 1 -none- character
## SSE 1 -none- numeric
## call 2 -none- callplot(fitted(twentynineteen), main = "Box Jenkins Decomposition of Daily Crashes") 
fcast.2019 <- forecast(noncovid, 10)
summary(fcast.2019)## fit
## Min. :59.09
## 1st Qu.:68.05
## Median :69.93
## Mean :72.98
## 3rd Qu.:76.89
## Max. :88.69autoplot(fcast.2019) +
ggtitle("2015-2019 Forecasts of Daily Car Crashes Using HoltWinters") +
xlab("Year") + ylab("Crashes")
2015-2019 Seasonal and Trend Decomposition Using Loess Forecasting Model of Daily Crashes
crashests.2019 %>% mstl() %>%
autoplot()
p <- crashests.2019 %>%
stlf(lambda = 0, h = 200)
p %>%
autoplot() +
ggtitle("2015-2019 Seasonal and Trend Decomposition Using Loess Forecasting Model for Daily Car Crashes") +
xlab("Year") + ylab("Daily Crashes")
p %>% summary()##
## Forecast method: STL + ETS(A,A,N)
##
## Model Information:
## ETS(A,A,N)
##
## Call:
## ets(y = na.interp(x), model = etsmodel, allow.multiplicative.trend = allow.multiplicative.trend)
##
## Smoothing parameters:
## alpha = 2e-04
## beta = 2e-04
##
## Initial states:
## l = 4.0692
## b = 1e-04
##
## sigma: 0.2248
##
## AIC AICc BIC
## 8263.292 8263.325 8290.839
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set 1.69447 15.30075 11.57512 -2.622692 17.96776 0.6741266 0.1518741
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## 2020.0000 46.64954 34.97128 62.22762 30.02401 72.48132
## 2020.0027 45.84185 34.36579 61.15022 29.50417 71.22638
## 2020.0055 55.77283 41.81064 74.39753 35.89582 86.65656
## 2020.0082 73.95440 55.44063 98.65064 47.59762 114.90604
## 2020.0110 82.99149 62.21536 110.70558 53.41395 128.94737
## 2020.0137 69.66936 52.22829 92.93468 44.83971 108.24823
## 2020.0164 65.89617 49.39967 87.90149 42.41124 102.38570
## 2020.0192 66.57393 49.90775 88.80562 42.84744 103.43883
## 2020.0219 65.57412 49.15821 87.47197 42.20393 101.88544
## 2020.0247 66.85874 50.12121 89.18562 43.03068 103.88148
## 2020.0274 67.97144 50.95533 90.66994 43.74679 105.61043
## 2020.0301 79.99575 59.96941 106.70975 51.48564 124.29330
## 2020.0329 81.59832 61.17074 108.84758 52.51700 126.78345
## 2020.0356 65.55622 49.14461 87.44839 42.19218 101.85816
## 2020.0384 57.02764 42.75107 76.07182 36.70310 88.60701
## 2020.0411 54.63985 40.96100 72.88672 35.16624 84.89712
## 2020.0438 63.37922 47.51244 84.54471 40.79083 98.47621
## 2020.0466 60.22915 45.15091 80.34279 38.76335 93.58196
## 2020.0493 69.48043 52.08606 92.68373 44.71734 107.95658
## 2020.0521 64.47875 48.33646 86.01187 41.49815 100.18541
## 2020.0548 68.39787 51.27432 91.24001 44.02033 106.27519
## 2020.0575 47.59271 35.67769 63.48690 30.63018 73.94882
## 2020.0603 58.41665 43.79170 77.92583 37.59621 90.76724
## 2020.0630 74.16633 55.59820 98.93565 47.73231 115.23943
## 2020.0658 78.68664 58.98664 104.96593 50.64128 122.26365
## 2020.0685 73.61182 55.18217 98.19656 47.37498 114.37893
## 2020.0712 66.60628 49.93039 88.85165 42.86614 103.49420
## 2020.0740 65.90677 49.40582 87.91884 42.41571 102.40787
## 2020.0767 72.33012 54.22075 96.48789 46.54930 112.38935
## 2020.0795 76.79520 57.56765 102.44472 49.42255 119.32815
## 2020.0822 65.24917 48.91223 87.04273 41.99166 101.38808
## 2020.0849 62.42483 46.79481 83.27546 40.17373 97.00019
## 2020.0877 74.07631 55.52869 98.81919 47.67171 115.10602
## 2020.0904 71.87870 53.88103 95.88807 46.25704 111.69213
## 2020.0932 69.53815 52.12622 92.76626 44.75040 108.05613
## 2020.0959 67.62449 50.69141 90.21393 43.51847 105.08346
## 2020.0986 77.11773 57.80718 102.87900 49.62717 119.83647
## 2020.1014 68.49961 51.34671 91.38261 44.08073 106.44553
## 2020.1041 65.53042 49.12068 87.42217 42.16953 101.83268
## 2020.1068 71.77722 53.80278 95.75658 46.18887 111.54137
## 2020.1096 70.43237 52.79427 93.96319 45.32289 109.45282
## 2020.1123 61.05898 45.76783 81.45892 39.29065 94.88767
## 2020.1151 68.77416 51.55043 91.75258 44.25467 106.87877
## 2020.1178 71.97723 53.95083 96.02674 46.31512 111.85811
## 2020.1205 65.70883 49.25184 87.66474 42.28097 102.11805
## 2020.1233 82.20998 61.61960 109.68069 52.89797 127.76446
## 2020.1260 79.49104 59.58102 106.05435 51.14764 123.54091
## 2020.1288 70.35448 52.73229 93.86567 45.26805 109.34317
## 2020.1315 61.77558 46.30168 82.42082 39.74745 96.01176
## 2020.1342 60.44798 45.30608 80.65050 38.89253 93.95012
## 2020.1370 60.13942 45.07425 80.23981 38.69327 93.47232
## 2020.1397 60.97706 45.70147 81.35847 39.23142 94.77611
## 2020.1425 63.90892 47.89821 85.27146 41.11688 99.33513
## 2020.1452 76.72931 57.50598 102.37869 49.36403 119.26471
## 2020.1479 96.52462 72.34084 128.79312 62.09803 150.03702
## 2020.1507 72.59197 54.40358 96.86116 46.70015 112.83891
## 2020.1534 68.61099 51.41926 91.55068 44.13804 106.65332
## 2020.1562 73.04427 54.74082 97.46777 46.98885 113.54749
## 2020.1589 71.62652 53.67743 95.57756 46.07564 111.34643
## 2020.1616 66.75064 50.02255 89.07279 42.93797 103.76941
## 2020.1644 81.76574 61.27369 109.11105 52.59514 127.11511
## 2020.1671 82.89406 62.11809 110.61876 53.31942 128.87285
## 2020.1699 67.72453 50.74957 90.37736 43.56075 105.29231
## 2020.1726 69.35053 51.96700 92.54905 44.60527 107.82352
## 2020.1753 75.25178 56.38788 100.42635 48.39936 117.00216
## 2020.1781 65.67436 49.21028 87.64677 42.23815 102.11438
## 2020.1808 66.54399 49.86083 88.80925 42.79604 103.46992
## 2020.1836 71.48393 53.56109 95.40418 45.97147 111.15485
## 2020.1863 74.15153 55.55859 98.96668 47.68535 115.30690
## 2020.1890 66.99707 50.19688 89.42004 43.08291 104.18532
## 2020.1918 69.88688 52.36077 93.27928 44.93956 108.68320
## 2020.1945 66.86295 50.09394 89.24541 42.99345 103.98456
## 2020.1973 69.76364 52.26581 93.11949 44.85686 108.49992
## 2020.2000 75.16740 56.31274 100.33497 48.32945 116.90879
## 2020.2027 91.70344 68.69911 122.41092 58.95900 142.63339
## 2020.2055 86.06192 64.47101 114.88348 55.32954 133.86436
## 2020.2082 66.96725 50.16532 89.39667 43.05164 104.16822
## 2020.2110 73.80540 55.28618 98.52800 47.44560 114.81014
## 2020.2137 65.54331 49.09575 87.50098 42.13242 101.96248
## 2020.2164 67.01956 50.20000 89.47452 43.07936 104.26389
## 2020.2192 70.92262 53.12187 94.68828 45.58601 110.34127
## 2020.2219 75.66783 56.67426 101.02683 48.63363 117.72965
## 2020.2247 77.61956 58.13416 103.63606 49.88554 120.77238
## 2020.2274 68.19196 51.07152 91.05160 43.82423 106.10896
## 2020.2301 63.20937 47.33823 84.40164 40.61997 98.36109
## 2020.2329 66.96783 50.15122 89.42337 43.03293 104.21533
## 2020.2356 68.88242 51.58315 91.98328 44.26077 107.20074
## 2020.2384 75.67503 56.66775 101.05765 48.62265 117.77865
## 2020.2411 75.97766 56.89222 101.46563 48.81426 118.25651
## 2020.2438 73.53177 55.05860 98.20303 47.24003 114.45636
## 2020.2466 71.85959 53.80439 95.97360 46.16295 111.86028
## 2020.2493 60.98501 45.66027 81.45313 39.17465 94.93824
## 2020.2521 65.50271 49.04070 87.49069 42.07399 101.97759
## 2020.2548 73.44143 54.98196 98.09843 47.17019 114.34434
## 2020.2575 72.61610 54.36173 97.00019 46.63701 113.06680
## 2020.2603 83.30796 62.36310 111.28721 53.50016 129.72328
## 2020.2630 76.47920 57.24863 102.16959 49.11137 119.09804
## 2020.2658 70.27762 52.60401 93.88912 45.12584 109.44825
## 2020.2685 81.65550 61.11769 109.09478 52.42792 127.17691
## 2020.2712 70.31155 52.62443 93.94332 45.14110 109.51691
## 2020.2740 66.05216 49.43410 88.25664 42.40335 102.89017
## 2020.2767 70.73268 52.93442 94.51530 45.40465 110.18945
## 2020.2795 83.21739 62.27448 111.20339 53.41468 129.64852
## 2020.2822 93.67888 70.09956 125.18954 60.12484 145.95851
## 2020.2849 70.36746 52.65294 94.04182 45.15950 109.64644
## 2020.2877 68.61368 51.33791 91.70292 44.03038 106.92247
## 2020.2904 70.55970 52.79108 94.30894 45.27539 109.96418
## 2020.2932 71.31292 53.35166 95.32099 45.75481 111.14750
## 2020.2959 81.30750 60.82550 108.68648 52.16288 126.73591
## 2020.2986 81.56709 61.01618 109.03977 52.32480 127.15175
## 2020.3014 75.02738 56.12086 100.30331 48.12530 116.96775
## 2020.3041 69.21327 51.76879 92.53602 44.39186 107.91342
## 2020.3068 75.89836 56.76551 101.47994 48.67500 118.34742
## 2020.3096 73.51538 54.97985 98.29986 47.14229 114.64253
## 2020.3123 85.64584 64.04780 114.52711 54.91575 133.57206
## 2020.3151 79.68204 59.58413 106.55904 51.08678 124.28317
## 2020.3178 86.00140 64.30539 115.01743 55.13284 134.15310
## 2020.3205 78.64684 58.80231 105.18849 50.41295 122.69319
## 2020.3233 70.67530 52.83862 94.53308 45.29849 110.26852
## 2020.3260 70.74635 52.88812 94.63460 45.33928 110.39094
## 2020.3288 76.88220 57.47112 102.84944 49.26633 119.97794
## 2020.3315 75.68575 56.57275 101.25605 48.49439 118.12361
## 2020.3342 84.37211 63.06100 112.88519 54.05409 131.69499
## 2020.3370 83.10021 62.10582 111.19158 53.23328 129.72419
## 2020.3397 78.22478 58.45778 104.67582 50.10444 122.12723
## 2020.3425 76.44967 57.12693 102.30819 48.96180 119.36963
## 2020.3452 78.22115 58.44618 104.68686 50.09047 122.14994
## 2020.3479 68.63740 51.28130 91.86764 43.94810 107.19672
## 2020.3507 72.23009 53.96126 96.68392 46.24289 112.82136
## 2020.3534 72.40214 54.08546 96.92198 46.34736 113.10395
## 2020.3562 72.88255 54.43990 97.57303 46.64908 113.86861
## 2020.3589 80.21175 59.90953 107.39402 51.33371 125.33527
## 2020.3616 67.48975 50.40334 90.36834 43.18638 105.46997
## 2020.3644 75.89742 56.67761 101.63480 48.56009 118.62452
## 2020.3671 68.32363 51.01736 91.50058 43.70852 106.80110
## 2020.3699 78.03242 58.26183 104.51197 49.91282 121.99388
## 2020.3726 80.01002 59.73307 107.17017 51.17082 125.10260
## 2020.3753 85.23196 63.62588 114.17504 54.50303 133.28594
## 2020.3781 78.79026 58.81176 105.55551 50.37673 123.22962
## 2020.3808 73.02951 54.50668 97.84689 46.68682 114.23587
## 2020.3836 61.89258 46.19013 82.93313 39.56144 96.82893
## 2020.3863 73.21420 54.63419 98.11291 46.79134 114.55793
## 2020.3890 66.23115 49.41849 88.76364 42.32220 103.64689
## 2020.3918 84.12928 62.76707 112.76193 53.75120 131.67588
## 2020.3945 78.96482 58.90812 105.85029 50.44390 123.61142
## 2020.3973 77.42895 57.75655 103.80195 49.45516 121.22584
## 2020.4000 59.67012 44.50517 80.00245 38.10635 93.43647
## 2020.4027 51.10295 38.11139 68.52314 32.63006 80.03393
## 2020.4055 56.49766 42.13022 75.76475 36.06889 88.49692
## 2020.4082 65.17575 48.59631 87.41155 41.60236 102.10668
## 2020.4110 74.45441 55.50869 99.86651 47.51721 116.66212
## 2020.4137 86.00151 64.11053 115.36731 54.87750 134.77762
## 2020.4164 79.23783 59.06198 106.30584 50.55309 124.19883
## 2020.4192 74.49627 55.52154 99.95570 47.51990 116.78675
## 2020.4219 78.43657 58.45161 105.25450 50.02470 122.98515
## 2020.4247 67.66687 50.42017 90.81298 43.14853 106.11731
## 2020.4274 87.69179 65.33363 117.70124 55.90773 137.54538
## 2020.4301 78.36863 58.38068 105.19989 49.95480 122.94397
## 2020.4329 81.12785 60.42899 108.91674 51.70424 127.29573
## 2020.4356 78.41290 58.39971 105.28448 49.96476 123.05838
## 2020.4384 73.39360 54.65482 98.55708 46.75776 115.20270
## 2020.4411 77.01808 57.34685 103.43698 49.05761 120.91465
## 2020.4438 73.92295 55.03539 99.29253 47.07717 116.07757
## 2020.4466 70.05329 52.14787 94.10670 44.60420 110.02244
## 2020.4493 79.78858 59.38727 107.19835 50.79293 125.33668
## 2020.4521 75.76590 56.38588 101.80690 48.22260 119.04110
## 2020.4548 73.20091 54.46987 98.37315 46.58076 115.03403
## 2020.4575 78.91220 58.71197 106.06244 50.20495 124.03428
## 2020.4603 71.36281 53.08801 95.92845 45.39266 112.19106
## 2020.4630 69.33982 51.57611 93.22167 44.09676 109.03320
## 2020.4658 70.46577 52.40645 94.74836 44.80345 110.82685
## 2020.4685 67.86725 50.46691 91.26700 43.14214 106.76252
## 2020.4712 80.28936 59.69581 107.98718 51.02778 126.33084
## 2020.4740 65.54300 48.72488 88.16614 41.64675 103.15054
## 2020.4767 62.94662 46.78804 84.68568 39.98825 99.08604
## 2020.4795 65.82244 48.91856 88.56747 41.80594 103.63583
## 2020.4822 65.66132 48.79170 88.36357 41.69430 103.40523
## 2020.4849 72.09635 53.56555 97.03782 45.77015 113.56492
## 2020.4877 73.17985 54.36245 98.51084 46.44741 115.29792
## 2020.4904 80.95889 60.13213 108.99901 51.37295 127.58354
## 2020.4932 74.92009 55.63834 100.88403 47.52991 118.09447
## 2020.4959 68.10538 50.56971 91.72177 43.19644 107.37792
## 2020.4986 64.31379 47.74694 86.62887 40.78188 101.42405
## 2020.5014 60.61531 44.99409 81.65996 38.42741 95.61446
## 2020.5041 63.94551 47.45853 86.16003 40.52876 100.89201
## 2020.5068 39.60470 29.38876 53.37184 25.09536 62.50288
## 2020.5096 68.17226 50.57918 91.88477 43.18637 107.61396
## 2020.5123 68.28168 50.65207 92.04732 43.24486 107.81369
## 2020.5151 59.03385 43.78469 79.59392 37.37847 93.23536
## 2020.5178 66.73928 49.49145 89.99801 42.24653 105.43190
## 2020.5205 70.36338 52.17015 94.90112 44.52912 111.18579
## 2020.5233 64.79919 48.03645 87.41142 40.99716 102.42013
## 2020.5260 75.74017 56.13748 102.18794 47.90670 119.74471
## 2020.5288 68.56589 50.81118 92.52454 43.35734 108.43103
## 2020.5315 73.69750 54.60441 99.46672 46.58979 116.57751
## 2020.5342 74.92932 55.50726 101.14718 47.35569 118.55817
## 2020.5370 68.50965 50.74253 92.49780 43.28658 108.43019
## 2020.5397 74.68855 55.30902 100.85841 47.17758 118.24219
## 2020.5425 67.85986 50.24301 91.65374 42.85223 107.46138
## 2020.5452 69.94674 51.77860 94.48974 44.15763 110.797302015-2019 Monthly Time Series
crashes_mts.2019 = crashes %>%
filter(as.Date(crash_date) >= "2015/01/01" & as.Date(crash_date) <= "2019/12/31") %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
group_by(Date) %>%
summarize(count = length(unique(key_crash))) %>%
separate(Date, into = c("Year", "Month", "Day"), sep = "/") %>%
group_by(Year, Month) %>%
summarise(mcount = sum(count)) %>%
tidyr::spread(key=Month, value=mcount)
crashes_mts.2019 = as.data.frame(crashes_mts.2019)
rownames(crashes_mts.2019) = seq(2015, 2019)
crashes_mts3.2019 = crashes_mts.2019 %>%
select(02:13)
crashes_mts2.2019 <- ts(c(t(crashes_mts3.2019)), frequency=12)
crashes_mts4.2019 <- window(crashes_mts2.2019, start=c(1,01), end=c(5,12),
frequency=12)2015-2019 Time Series Forecast of Monthly Crashes Using Linear Model
fit.crashes.2019 <- tslm(crashes_mts4.2019 ~ trend + season)
summary(fit.crashes.2019)##
## Call:
## tslm(formula = crashes_mts4.2019 ~ trend + season)
##
## Residuals:
## Min 1Q Median 3Q Max
## -226.48 -45.81 -10.22 65.74 165.12
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1891.2535 42.7548 44.235 < 2e-16 ***
## trend 2.6299 0.6693 3.929 0.000278 ***
## season2 -67.2299 55.6461 -1.208 0.233026
## season3 131.3403 55.6582 2.360 0.022491 *
## season4 146.1104 55.6783 2.624 0.011678 *
## season5 179.0806 55.7064 3.215 0.002362 **
## season6 88.2507 55.7426 1.583 0.120087
## season7 -11.1792 55.7868 -0.200 0.842039
## season8 194.7910 55.8389 3.488 0.001066 **
## season9 115.9611 55.8991 2.074 0.043537 *
## season10 487.7312 55.9671 8.715 2.23e-11 ***
## season11 260.5014 56.0431 4.648 2.73e-05 ***
## season12 269.6715 56.1270 4.805 1.62e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 87.98 on 47 degrees of freedom
## Multiple R-squared: 0.7999, Adjusted R-squared: 0.7489
## F-statistic: 15.66 on 12 and 47 DF, p-value: 1.409e-12fcast.2019 <- forecast::forecast(fit.crashes.2019)
summary(fcast.2019)##
## Forecast method: Linear regression model
##
## Model Information:
##
## Call:
## tslm(formula = crashes_mts4.2019 ~ trend + season)
##
## Coefficients:
## (Intercept) trend season2 season3 season4 season5
## 1891.25 2.63 -67.23 131.34 146.11 179.08
## season6 season7 season8 season9 season10 season11
## 88.25 -11.18 194.79 115.96 487.73 260.50
## season12
## 269.67
##
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE
## Training set -1.136536e-14 77.86576 61.82111 -0.143685 2.986605 0.6223602
## ACF1
## Training set 0.1673149
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## Jan 6 2051.675 1922.549 2180.801 1851.827 2251.523
## Feb 6 1987.075 1857.949 2116.201 1787.227 2186.923
## Mar 6 2188.275 2059.149 2317.401 1988.427 2388.123
## Apr 6 2205.675 2076.549 2334.801 2005.827 2405.523
## May 6 2241.275 2112.149 2370.401 2041.427 2441.123
## Jun 6 2153.075 2023.949 2282.201 1953.227 2352.923
## Jul 6 2056.275 1927.149 2185.401 1856.427 2256.123
## Aug 6 2264.875 2135.749 2394.001 2065.027 2464.723
## Sep 6 2188.675 2059.549 2317.801 1988.827 2388.523
## Oct 6 2563.075 2433.949 2692.201 2363.227 2762.923autoplot(fcast.2019) +
ggtitle("2015-2019 Forecasts of Monthly Car Crashes Using Linear Model") +
xlab("Year") + ylab("Monthly Crashes") +
scale_x_continuous(breaks = c(1,2,3,4,5,6,7),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021")) +
theme(axis.text.x = element_text(angle = 90))## Scale for 'x' is already present. Adding another scale for 'x', which will
## replace the existing scale.
2015-2019 Time Series Forecast of Monthly Crashes Using HoltWinters
covid.monthly.2019 <- HoltWinters(crashes_mts4.2019)
summary(covid.monthly.2019)## Length Class Mode
## fitted 192 mts numeric
## x 60 ts numeric
## alpha 1 -none- numeric
## beta 1 -none- numeric
## gamma 1 -none- numeric
## coefficients 14 -none- numeric
## seasonal 1 -none- character
## SSE 1 -none- numeric
## call 2 -none- callplot(fitted(covid.monthly.2019), main = "2015-2019 Box Jenkins Decomposition of Monthly Crashes") 
fcast.covid.monthly.2019 <- forecast(covid.monthly.2019, 10)
summary(fcast.covid.monthly.2019)## fit
## Min. :1994
## 1st Qu.:2165
## Median :2268
## Mean :2258
## 3rd Qu.:2295
## Max. :2656autoplot(fcast.covid.monthly.2019) +
ggtitle("Forecasts of Monthly Car Crashes Using HoltWinters") +
xlab("Year") + ylab("Crashes")
2015-2019 Seasonal and Trend Decomposition Using Loess Forecasting Model of Daily Crashes
crashes_mts4.2019 %>% mstl() %>%
autoplot()
t <- crashes_mts4.2019 %>%
stlf(lambda = 0, h = 20)
t %>%
autoplot() +
ggtitle("2015-2019 Seasonal and Trend Decomposition Using Loess Forecasting Model for Monthly Car Crashes") +
xlab("Year") + ylab("Daily Crashes") +
scale_x_continuous(breaks = c(1,2,3,4,5,6,7),
labels = c("Jan 2015", "Jan 2016", "Jan 2017", "Jan 2018",
"Jan 2019", "Jan 2020", "Jan 2021")) +
theme(axis.text.x = element_text(angle = 90))## Scale for 'x' is already present. Adding another scale for 'x', which will
## replace the existing scale.
t %>% summary()##
## Forecast method: STL + ETS(A,N,N)
##
## Model Information:
## ETS(A,N,N)
##
## Call:
## ets(y = na.interp(x), model = etsmodel, allow.multiplicative.trend = allow.multiplicative.trend)
##
## Smoothing parameters:
## alpha = 0.2951
##
## Initial states:
## l = 7.5925
##
## sigma: 0.037
##
## AIC AICc BIC
## -146.0376 -145.6090 -139.7545
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set 13.89963 73.94417 58.46173 0.5452752 2.802333 0.5885409 -0.1690968
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## Jan 6 2071.351 1975.459 2171.898 1926.508 2227.085
## Feb 6 1984.650 1888.951 2085.198 1840.173 2140.470
## Mar 6 2211.598 2100.873 2328.159 2044.520 2392.329
## Apr 6 2221.045 2105.903 2342.482 2047.387 2409.432
## May 6 2253.349 2132.676 2380.851 2071.433 2451.241
## Jun 6 2150.982 2032.232 2276.672 1972.046 2346.154
## Jul 6 2045.865 1929.639 2169.090 1870.810 2237.299
## Aug 6 2262.156 2130.127 2402.369 2063.383 2480.077
## Sep 6 2163.926 2034.361 2301.743 1968.944 2378.216
## Oct 6 2564.853 2407.512 2732.476 2328.167 2825.600
## Nov 6 2316.783 2171.342 2471.965 2098.084 2558.278
## Dec 6 2327.443 2178.082 2487.047 2102.935 2575.920
## Jan 7 2071.351 1935.598 2216.625 1867.374 2297.609
## Feb 7 1984.650 1851.932 2126.879 1785.307 2206.251
## Mar 7 2211.598 2060.818 2373.410 1985.207 2463.807
## Apr 7 2221.045 2066.783 2386.821 1989.507 2479.529
## May 7 2253.349 2094.022 2424.799 2014.292 2520.778
## Jun 7 2150.982 1996.252 2317.706 1918.901 2411.133
## Jul 7 2045.865 1896.231 2207.306 1821.502 2297.863
## Aug 7 2262.156 2094.026 2443.785 2010.142 2545.765Statistical Analyses Using ANOVA
###Is there a significant difference between the amount of crashes on each DOW?
crashes_dow = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
group_by(Date, Crash_Date_DOW) %>%
summarize(count = length(unique(key_crash)))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_dow = aov(count ~ Crash_Date_DOW, data = crashes_dow)
summary(anova_dow)## Df Sum Sq Mean Sq F value Pr(>F)
## Crash_Date_DOW 6 155962 25994 34.28 <2e-16 ***
## Residuals 4279 3244359 758
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 114 observations deleted due to missingnessTukeyHSD(anova_dow)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ Crash_Date_DOW, data = crashes_dow)
##
## $Crash_Date_DOW
## diff lwr upr p adj
## Monday-Friday -6.5850295 -11.218746 -1.9513131 0.0005614
## Saturday-Friday -11.3885919 -16.026083 -6.7511006 0.0000000
## Sunday-Friday -20.0611335 -24.700520 -15.4217466 0.0000000
## Thursday-Friday -4.8323113 -9.469803 -0.1948200 0.0346768
## Tuesday-Friday -4.1738786 -8.813265 0.4655083 0.1105619
## Wednesday-Friday -4.9430772 -9.592024 -0.2941307 0.0286038
## Saturday-Monday -4.8035624 -9.439170 -0.1679551 0.0365089
## Sunday-Monday -13.4761039 -18.113608 -8.8386003 0.0000000
## Thursday-Monday 1.7527182 -2.882889 6.3883255 0.9236480
## Tuesday-Monday 2.4111510 -2.226353 7.0486546 0.7244696
## Wednesday-Monday 1.6419523 -3.005115 6.2890195 0.9441658
## Sunday-Saturday -8.6725416 -13.313817 -4.0312661 0.0000008
## Thursday-Saturday 6.5562806 1.916900 11.1956613 0.0006207
## Tuesday-Saturday 7.2147133 2.573438 11.8559888 0.0000952
## Wednesday-Saturday 6.4455147 1.794683 11.0963460 0.0008732
## Thursday-Sunday 15.2288221 10.587547 19.8700976 0.0000000
## Tuesday-Sunday 15.8872549 11.244085 20.5304244 0.0000000
## Wednesday-Sunday 15.1180562 10.465335 19.7707776 0.0000000
## Tuesday-Thursday 0.6584328 -3.982843 5.2997083 0.9995898
## Wednesday-Thursday -0.1107659 -4.761597 4.5400654 1.0000000
## Wednesday-Tuesday -0.7691987 -5.421920 3.8835227 0.9990127Is there a significant difference between the amount of crashes per each race?
crashes_race = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(Race != "Unknown", Race != "NA") %>%
group_by(Date, Race) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_race = aov(count ~ Race, data = crashes_race)
summary(anova_race)## Df Sum Sq Mean Sq F value Pr(>F)
## Race 6 8334480 1389080 7338 <2e-16 ***
## Residuals 14488 2742549 189
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_race)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ Race, data = crashes_race)
##
## $Race
## diff lwr upr p adj
## Asian- -14.283809 -15.499536 -13.0680811 0.0000000
## Black- 35.801364 34.616796 36.9859316 0.0000000
## Hispanic- -2.854342 -4.039542 -1.6691422 0.0000000
## Native American- -16.741854 -18.510826 -14.9728822 0.0000000
## Other*- -11.128652 -12.316920 -9.9403836 0.0000000
## White- 48.147850 46.963408 49.3322910 0.0000000
## Black-Asian 50.085173 48.869445 51.3009003 0.0000000
## Hispanic-Asian 11.429467 10.213123 12.6458102 0.0000000
## Native American-Asian -2.458045 -4.248032 -0.6680581 0.0010146
## Other*-Asian 3.155157 1.935823 4.3744905 0.0000000
## White-Asian 62.431658 61.216054 63.6472629 0.0000000
## Hispanic-Black -38.655706 -39.840906 -37.4705062 0.0000000
## Native American-Black -52.543218 -54.312190 -50.7742463 0.0000000
## Other*-Black -46.930016 -48.118284 -45.7417476 0.0000000
## White-Black 12.346486 11.162044 13.5309269 0.0000000
## Native American-Hispanic -13.887512 -15.656907 -12.1181166 0.0000000
## Other*-Hispanic -8.274310 -9.463209 -7.0854111 0.0000000
## White-Hispanic 51.002192 49.817118 52.1872655 0.0000000
## Other*-Native American 5.613202 3.841750 7.3846540 0.0000000
## White-Native American 64.889704 63.120816 66.6585908 0.0000000
## White-Other* 59.276502 58.088359 60.4646441 0.0000000Is there a significant difference between the amount of crashes per each gender?
crashes_gender= crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(Gender != "Unknown", Gender != "NA") %>%
group_by(Date, Gender) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_gender = aov(count ~ Gender, data = crashes_gender)
summary(anova_gender)## Df Sum Sq Mean Sq F value Pr(>F)
## Gender 2 4817694 2408847 5219 <2e-16 ***
## Residuals 7036 3247439 462
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_gender)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ Gender, data = crashes_gender)
##
## $Gender
## diff lwr upr p adj
## Female- 53.561807 52.091349 55.032266 0
## Male- 57.251424 55.781122 58.721726 0
## Male-Female 3.689616 2.219315 5.159918 0Is there a significant difference between the amount of crashes per each Vision Obstruction?
crashes_vision= crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(VisionObstruction != "Unknown", VisionObstruction != "NA") %>%
group_by(Date, VisionObstruction) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_vision = aov(count ~ VisionObstruction, data = crashes_vision)
summary(anova_vision)## Df Sum Sq Mean Sq F value Pr(>F)
## VisionObstruction 13 15372924 1182533 2082 <2e-16 ***
## Residuals 7659 4350132 568
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_vision)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ VisionObstruction, data = crashes_vision)
##
## $VisionObstruction
## diff
## Blinded, headlights- -4.958671e+01
## Blinded, other lights- -4.940489e+01
## Blinded, sunlight- -4.919322e+01
## Building(s)- -4.920209e+01
## Embankment- -4.958671e+01
## Hillcrest- -4.935943e+01
## None- 5.914188e+01
## Other*- -4.943671e+01
## Parked vehicle(s)- -4.916241e+01
## Sign(s)- -4.925337e+01
## Trees, crops, brush, etc.- -4.930714e+01
## Vehicle window(s) obscured- -4.928646e+01
## Vehicle(s) in traffic/moving- -4.859447e+01
## Blinded, other lights-Blinded, headlights 1.818182e-01
## Blinded, sunlight-Blinded, headlights 3.934837e-01
## Building(s)-Blinded, headlights 3.846154e-01
## Embankment-Blinded, headlights 9.620749e-12
## Hillcrest-Blinded, headlights 2.272727e-01
## None-Blinded, headlights 1.087286e+02
## Other*-Blinded, headlights 1.500000e-01
## Parked vehicle(s)-Blinded, headlights 4.242928e-01
## Sign(s)-Blinded, headlights 3.333333e-01
## Trees, crops, brush, etc.-Blinded, headlights 2.795699e-01
## Vehicle window(s) obscured-Blinded, headlights 3.002481e-01
## Vehicle(s) in traffic/moving-Blinded, headlights 9.922395e-01
## Blinded, sunlight-Blinded, other lights 2.116655e-01
## Building(s)-Blinded, other lights 2.027972e-01
## Embankment-Blinded, other lights -1.818182e-01
## Hillcrest-Blinded, other lights 4.545455e-02
## None-Blinded, other lights 1.085468e+02
## Other*-Blinded, other lights -3.181818e-02
## Parked vehicle(s)-Blinded, other lights 2.424747e-01
## Sign(s)-Blinded, other lights 1.515152e-01
## Trees, crops, brush, etc.-Blinded, other lights 9.775171e-02
## Vehicle window(s) obscured-Blinded, other lights 1.184300e-01
## Vehicle(s) in traffic/moving-Blinded, other lights 8.104213e-01
## Building(s)-Blinded, sunlight -8.868325e-03
## Embankment-Blinded, sunlight -3.934837e-01
## Hillcrest-Blinded, sunlight -1.662110e-01
## None-Blinded, sunlight 1.083351e+02
## Other*-Blinded, sunlight -2.434837e-01
## Parked vehicle(s)-Blinded, sunlight 3.080914e-02
## Sign(s)-Blinded, sunlight -6.015038e-02
## Trees, crops, brush, etc.-Blinded, sunlight -1.139138e-01
## Vehicle window(s) obscured-Blinded, sunlight -9.323557e-02
## Vehicle(s) in traffic/moving-Blinded, sunlight 5.987558e-01
## Embankment-Building(s) -3.846154e-01
## Hillcrest-Building(s) -1.573427e-01
## None-Building(s) 1.083440e+02
## Other*-Building(s) -2.346154e-01
## Parked vehicle(s)-Building(s) 3.967746e-02
## Sign(s)-Building(s) -5.128205e-02
## Trees, crops, brush, etc.-Building(s) -1.050455e-01
## Vehicle window(s) obscured-Building(s) -8.436725e-02
## Vehicle(s) in traffic/moving-Building(s) 6.076241e-01
## Hillcrest-Embankment 2.272727e-01
## None-Embankment 1.087286e+02
## Other*-Embankment 1.500000e-01
## Parked vehicle(s)-Embankment 4.242928e-01
## Sign(s)-Embankment 3.333333e-01
## Trees, crops, brush, etc.-Embankment 2.795699e-01
## Vehicle window(s) obscured-Embankment 3.002481e-01
## Vehicle(s) in traffic/moving-Embankment 9.922395e-01
## None-Hillcrest 1.085013e+02
## Other*-Hillcrest -7.727273e-02
## Parked vehicle(s)-Hillcrest 1.970201e-01
## Sign(s)-Hillcrest 1.060606e-01
## Trees, crops, brush, etc.-Hillcrest 5.229717e-02
## Vehicle window(s) obscured-Hillcrest 7.297541e-02
## Vehicle(s) in traffic/moving-Hillcrest 7.649667e-01
## Other*-None -1.085786e+02
## Parked vehicle(s)-None -1.083043e+02
## Sign(s)-None -1.083953e+02
## Trees, crops, brush, etc.-None -1.084490e+02
## Vehicle window(s) obscured-None -1.084283e+02
## Vehicle(s) in traffic/moving-None -1.077364e+02
## Parked vehicle(s)-Other* 2.742928e-01
## Sign(s)-Other* 1.833333e-01
## Trees, crops, brush, etc.-Other* 1.295699e-01
## Vehicle window(s) obscured-Other* 1.502481e-01
## Vehicle(s) in traffic/moving-Other* 8.422395e-01
## Sign(s)-Parked vehicle(s) -9.095951e-02
## Trees, crops, brush, etc.-Parked vehicle(s) -1.447230e-01
## Vehicle window(s) obscured-Parked vehicle(s) -1.240447e-01
## Vehicle(s) in traffic/moving-Parked vehicle(s) 5.679466e-01
## Trees, crops, brush, etc.-Sign(s) -5.376344e-02
## Vehicle window(s) obscured-Sign(s) -3.308519e-02
## Vehicle(s) in traffic/moving-Sign(s) 6.589061e-01
## Vehicle window(s) obscured-Trees, crops, brush, etc. 2.067825e-02
## Vehicle(s) in traffic/moving-Trees, crops, brush, etc. 7.126696e-01
## Vehicle(s) in traffic/moving-Vehicle window(s) obscured 6.919913e-01
## lwr upr
## Blinded, headlights- -69.642291 -29.531122
## Blinded, other lights- -73.567229 -25.242547
## Blinded, sunlight- -53.522618 -44.863827
## Building(s)- -64.968241 -33.435941
## Embankment- -71.822251 -27.351161
## Hillcrest- -57.158986 -41.559881
## None- 56.808004 61.475763
## Other*- -54.338780 -44.534633
## Parked vehicle(s)- -52.817435 -45.507392
## Sign(s)- -72.391958 -26.114788
## Trees, crops, brush, etc.- -55.397239 -43.217034
## Vehicle window(s) obscured- -53.597451 -44.975466
## Vehicle(s) in traffic/moving- -51.726563 -45.462371
## Blinded, other lights-Blinded, headlights -31.132686 31.496323
## Blinded, sunlight-Blinded, headlights -19.990901 20.777868
## Building(s)-Blinded, headlights -25.019143 25.788374
## Embankment-Blinded, headlights -29.852955 29.852955
## Hillcrest-Blinded, headlights -21.164606 21.619152
## None-Blinded, headlights 88.673005 128.784174
## Other*-Blinded, headlights -20.363649 20.663649
## Parked vehicle(s)-Blinded, headlights -19.827588 20.676173
## Sign(s)-Blinded, headlights -30.198185 30.864851
## Trees, crops, brush, etc.-Blinded, headlights -20.549948 21.109088
## Vehicle window(s) obscured-Blinded, headlights -20.080236 20.680732
## Vehicle(s) in traffic/moving-Blinded, headlights -19.171825 21.156304
## Blinded, sunlight-Blinded, other lights -24.224279 24.647610
## Building(s)-Blinded, other lights -28.553823 28.959418
## Embankment-Blinded, other lights -32.935310 32.571673
## Hillcrest-Blinded, other lights -25.237044 25.327954
## None-Blinded, other lights 84.384430 132.709113
## Other*-Blinded, other lights -24.575698 24.512062
## Parked vehicle(s)-Blinded, other lights -24.083045 24.567995
## Sign(s)-Blinded, other lights -33.221616 33.524646
## Trees, crops, brush, etc.-Blinded, other lights -24.710736 24.906240
## Vehicle window(s) obscured-Blinded, other lights -24.314261 24.551121
## Vehicle(s) in traffic/moving-Blinded, other lights -23.442038 25.062880
## Building(s)-Blinded, sunlight -16.191209 16.173472
## Embankment-Blinded, sunlight -22.926041 22.139073
## Hillcrest-Blinded, sunlight -8.776071 8.443649
## None-Blinded, sunlight 104.005710 112.664502
## Other*-Blinded, sunlight -6.353066 5.866098
## Parked vehicle(s)-Blinded, sunlight -5.132122 5.193740
## Sign(s)-Blinded, sunlight -23.484300 23.364000
## Trees, crops, brush, etc.-Blinded, sunlight -7.212225 6.984397
## Vehicle window(s) obscured-Blinded, sunlight -5.739591 5.553120
## Vehicle(s) in traffic/moving-Blinded, sunlight -4.208187 5.405698
## Embankment-Building(s) -27.542376 26.773145
## Hillcrest-Building(s) -17.591720 17.277034
## None-Building(s) 92.577825 124.110124
## Other*-Building(s) -16.579486 16.110256
## Parked vehicle(s)-Building(s) -15.975430 16.054785
## Sign(s)-Building(s) -27.953228 27.850664
## Trees, crops, brush, etc.-Building(s) -16.844634 16.634543
## Vehicle window(s) obscured-Building(s) -16.261794 16.093060
## Vehicle(s) in traffic/moving-Building(s) -15.296291 16.511539
## Hillcrest-Embankment -23.220659 23.675204
## None-Embankment 86.493045 130.964135
## Other*-Embankment -22.499565 22.799565
## Parked vehicle(s)-Embankment -21.988464 22.837049
## Sign(s)-Embankment -31.672394 32.339061
## Trees, crops, brush, etc.-Embankment -22.656468 23.215607
## Vehicle window(s) obscured-Embankment -22.228780 22.829277
## Vehicle(s) in traffic/moving-Embankment -21.341199 23.325678
## None-Hillcrest 100.701764 116.300870
## Other*-Hillcrest -8.988858 8.834312
## Parked vehicle(s)-Hillcrest -8.094253 8.488293
## Sign(s)-Hillcrest -24.199909 24.412030
## Trees, crops, brush, etc.-Hillcrest -9.564114 9.668709
## Vehicle window(s) obscured-Hillcrest -8.527646 8.673597
## Vehicle(s) in traffic/moving-Hillcrest -7.309440 8.839374
## Other*-None -113.480663 -103.676516
## Parked vehicle(s)-None -111.959319 -104.649275
## Sign(s)-None -131.533842 -85.256671
## Trees, crops, brush, etc.-None -114.539122 -102.358918
## Vehicle window(s) obscured-None -112.739334 -104.117349
## Vehicle(s) in traffic/moving-None -110.868446 -104.604254
## Parked vehicle(s)-Other* -5.377478 5.926064
## Sign(s)-Other* -23.353392 23.720059
## Trees, crops, brush, etc.-Other* -7.331842 7.590982
## Vehicle window(s) obscured-Other* -5.946307 6.246803
## Vehicle(s) in traffic/moving-Other* -4.486302 6.170781
## Sign(s)-Parked vehicle(s) -23.399892 23.217973
## Trees, crops, brush, etc.-Parked vehicle(s) -6.853041 6.563595
## Vehicle window(s) obscured-Parked vehicle(s) -5.271553 5.023464
## Vehicle(s) in traffic/moving-Parked vehicle(s) -3.641829 4.777723
## Trees, crops, brush, etc.-Sign(s) -23.866291 23.758764
## Vehicle window(s) obscured-Sign(s) -23.453841 23.387670
## Vehicle(s) in traffic/moving-Sign(s) -22.573768 23.891580
## Vehicle window(s) obscured-Trees, crops, brush, etc. -7.066423 7.107780
## Vehicle(s) in traffic/moving-Trees, crops, brush, etc. -5.725682 7.151021
## Vehicle(s) in traffic/moving-Vehicle window(s) obscured -4.098383 5.482366
## p adj
## Blinded, headlights- 0.0000000
## Blinded, other lights- 0.0000000
## Blinded, sunlight- 0.0000000
## Building(s)- 0.0000000
## Embankment- 0.0000000
## Hillcrest- 0.0000000
## None- 0.0000000
## Other*- 0.0000000
## Parked vehicle(s)- 0.0000000
## Sign(s)- 0.0000000
## Trees, crops, brush, etc.- 0.0000000
## Vehicle window(s) obscured- 0.0000000
## Vehicle(s) in traffic/moving- 0.0000000
## Blinded, other lights-Blinded, headlights 1.0000000
## Blinded, sunlight-Blinded, headlights 1.0000000
## Building(s)-Blinded, headlights 1.0000000
## Embankment-Blinded, headlights 1.0000000
## Hillcrest-Blinded, headlights 1.0000000
## None-Blinded, headlights 0.0000000
## Other*-Blinded, headlights 1.0000000
## Parked vehicle(s)-Blinded, headlights 1.0000000
## Sign(s)-Blinded, headlights 1.0000000
## Trees, crops, brush, etc.-Blinded, headlights 1.0000000
## Vehicle window(s) obscured-Blinded, headlights 1.0000000
## Vehicle(s) in traffic/moving-Blinded, headlights 1.0000000
## Blinded, sunlight-Blinded, other lights 1.0000000
## Building(s)-Blinded, other lights 1.0000000
## Embankment-Blinded, other lights 1.0000000
## Hillcrest-Blinded, other lights 1.0000000
## None-Blinded, other lights 0.0000000
## Other*-Blinded, other lights 1.0000000
## Parked vehicle(s)-Blinded, other lights 1.0000000
## Sign(s)-Blinded, other lights 1.0000000
## Trees, crops, brush, etc.-Blinded, other lights 1.0000000
## Vehicle window(s) obscured-Blinded, other lights 1.0000000
## Vehicle(s) in traffic/moving-Blinded, other lights 1.0000000
## Building(s)-Blinded, sunlight 1.0000000
## Embankment-Blinded, sunlight 1.0000000
## Hillcrest-Blinded, sunlight 1.0000000
## None-Blinded, sunlight 0.0000000
## Other*-Blinded, sunlight 1.0000000
## Parked vehicle(s)-Blinded, sunlight 1.0000000
## Sign(s)-Blinded, sunlight 1.0000000
## Trees, crops, brush, etc.-Blinded, sunlight 1.0000000
## Vehicle window(s) obscured-Blinded, sunlight 1.0000000
## Vehicle(s) in traffic/moving-Blinded, sunlight 1.0000000
## Embankment-Building(s) 1.0000000
## Hillcrest-Building(s) 1.0000000
## None-Building(s) 0.0000000
## Other*-Building(s) 1.0000000
## Parked vehicle(s)-Building(s) 1.0000000
## Sign(s)-Building(s) 1.0000000
## Trees, crops, brush, etc.-Building(s) 1.0000000
## Vehicle window(s) obscured-Building(s) 1.0000000
## Vehicle(s) in traffic/moving-Building(s) 1.0000000
## Hillcrest-Embankment 1.0000000
## None-Embankment 0.0000000
## Other*-Embankment 1.0000000
## Parked vehicle(s)-Embankment 1.0000000
## Sign(s)-Embankment 1.0000000
## Trees, crops, brush, etc.-Embankment 1.0000000
## Vehicle window(s) obscured-Embankment 1.0000000
## Vehicle(s) in traffic/moving-Embankment 1.0000000
## None-Hillcrest 0.0000000
## Other*-Hillcrest 1.0000000
## Parked vehicle(s)-Hillcrest 1.0000000
## Sign(s)-Hillcrest 1.0000000
## Trees, crops, brush, etc.-Hillcrest 1.0000000
## Vehicle window(s) obscured-Hillcrest 1.0000000
## Vehicle(s) in traffic/moving-Hillcrest 1.0000000
## Other*-None 0.0000000
## Parked vehicle(s)-None 0.0000000
## Sign(s)-None 0.0000000
## Trees, crops, brush, etc.-None 0.0000000
## Vehicle window(s) obscured-None 0.0000000
## Vehicle(s) in traffic/moving-None 0.0000000
## Parked vehicle(s)-Other* 1.0000000
## Sign(s)-Other* 1.0000000
## Trees, crops, brush, etc.-Other* 1.0000000
## Vehicle window(s) obscured-Other* 1.0000000
## Vehicle(s) in traffic/moving-Other* 0.9999996
## Sign(s)-Parked vehicle(s) 1.0000000
## Trees, crops, brush, etc.-Parked vehicle(s) 1.0000000
## Vehicle window(s) obscured-Parked vehicle(s) 1.0000000
## Vehicle(s) in traffic/moving-Parked vehicle(s) 0.9999999
## Trees, crops, brush, etc.-Sign(s) 1.0000000
## Vehicle window(s) obscured-Sign(s) 1.0000000
## Vehicle(s) in traffic/moving-Sign(s) 1.0000000
## Vehicle window(s) obscured-Trees, crops, brush, etc. 1.0000000
## Vehicle(s) in traffic/moving-Trees, crops, brush, etc. 1.0000000
## Vehicle(s) in traffic/moving-Vehicle window(s) obscured 0.9999999Is there a significant difference between the amount of crashes per each vehicle type?
crashes_vehicle= crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(VehicleType != "Unknown", VehicleType != "NA", VehicleType != "") %>%
group_by(Date, VehicleType) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_vehicle = aov(count ~ VehicleType, data = crashes_vehicle)
summary(anova_vehicle)## Df Sum Sq Mean Sq F value Pr(>F)
## VehicleType 30 15851312 528377 3735 <2e-16 ***
## Residuals 20488 2898222 141
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_vehicle)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ VehicleType, data = crashes_vehicle)
##
## $VehicleType
## diff
## All terrain vehicle (ATV)-Activity bus -3.269642e+00
## Commercial bus-Activity bus -3.788301e-01
## EMS Vehicle, Ambulance, Rescue Squad-Activity bus -2.288268e+00
## Farm equipment-Activity bus -3.380753e+00
## Farm tractor-Activity bus -3.380753e+00
## Firetruck-Activity bus -2.047420e+00
## Light truck (mini-van, panel)-Activity bus -9.876680e-01
## Military-Activity bus -3.380753e+00
## Moped-Activity bus -3.269642e+00
## Motor home/recreational vehicle-Activity bus -2.854437e+00
## Motor scooter or motor bike-Activity bus -3.355753e+00
## Motorcycle-Activity bus -2.987205e+00
## Other bus-Activity bus -1.579166e+00
## Other*-Activity bus -3.276857e+00
## Passenger car-Activity bus 8.583295e+01
## Pedal cycle-Activity bus -3.270608e+00
## Pedestrian-Activity bus -2.948321e+00
## Pickup-Activity bus 9.126638e+00
## Police-Activity bus -3.141815e+00
## School bus-Activity bus 7.388478e+00
## Single unit truck (2-axle, 6-tire)-Activity bus -1.825822e+00
## Single unit truck (3 or more axles)-Activity bus -2.963641e+00
## Sport utility-Activity bus 3.144998e+01
## Taxicab-Activity bus -2.992404e+00
## Tractor/doubles-Activity bus -3.380753e+00
## Tractor/semi-trailer-Activity bus -2.911925e+00
## Truck/tractor (i.e., bobtail)-Activity bus -3.349503e+00
## Truck/trailer-Activity bus -2.655871e+00
## Unknown heavy truck-Activity bus -3.205428e+00
## Van-Activity bus 4.259193e+00
## Commercial bus-All terrain vehicle (ATV) 2.890812e+00
## EMS Vehicle, Ambulance, Rescue Squad-All terrain vehicle (ATV) 9.813744e-01
## Farm equipment-All terrain vehicle (ATV) -1.111111e-01
## Farm tractor-All terrain vehicle (ATV) -1.111111e-01
## Firetruck-All terrain vehicle (ATV) 1.222222e+00
## Light truck (mini-van, panel)-All terrain vehicle (ATV) 2.281974e+00
## Military-All terrain vehicle (ATV) -1.111111e-01
## Moped-All terrain vehicle (ATV) 6.650680e-12
## Motor home/recreational vehicle-All terrain vehicle (ATV) 4.152047e-01
## Motor scooter or motor bike-All terrain vehicle (ATV) -8.611111e-02
## Motorcycle-All terrain vehicle (ATV) 2.824373e-01
## Other bus-All terrain vehicle (ATV) 1.690476e+00
## Other*-All terrain vehicle (ATV) -7.215007e-03
## Passenger car-All terrain vehicle (ATV) 8.910259e+01
## Pedal cycle-All terrain vehicle (ATV) -9.661836e-04
## Pedestrian-All terrain vehicle (ATV) 3.213213e-01
## Pickup-All terrain vehicle (ATV) 1.239628e+01
## Police-All terrain vehicle (ATV) 1.278269e-01
## School bus-All terrain vehicle (ATV) 1.065812e+01
## Single unit truck (2-axle, 6-tire)-All terrain vehicle (ATV) 1.443820e+00
## Single unit truck (3 or more axles)-All terrain vehicle (ATV) 3.060012e-01
## Sport utility-All terrain vehicle (ATV) 3.471962e+01
## Taxicab-All terrain vehicle (ATV) 2.772384e-01
## Tractor/doubles-All terrain vehicle (ATV) -1.111111e-01
## Tractor/semi-trailer-All terrain vehicle (ATV) 3.577168e-01
## Truck/tractor (i.e., bobtail)-All terrain vehicle (ATV) -7.986111e-02
## Truck/trailer-All terrain vehicle (ATV) 6.137715e-01
## Unknown heavy truck-All terrain vehicle (ATV) 6.421356e-02
## Van-All terrain vehicle (ATV) 7.528835e+00
## EMS Vehicle, Ambulance, Rescue Squad-Commercial bus -1.909438e+00
## Farm equipment-Commercial bus -3.001923e+00
## Farm tractor-Commercial bus -3.001923e+00
## Firetruck-Commercial bus -1.668590e+00
## Light truck (mini-van, panel)-Commercial bus -6.088380e-01
## Military-Commercial bus -3.001923e+00
## Moped-Commercial bus -2.890812e+00
## Motor home/recreational vehicle-Commercial bus -2.475607e+00
## Motor scooter or motor bike-Commercial bus -2.976923e+00
## Motorcycle-Commercial bus -2.608375e+00
## Other bus-Commercial bus -1.200336e+00
## Other*-Commercial bus -2.898027e+00
## Passenger car-Commercial bus 8.621178e+01
## Pedal cycle-Commercial bus -2.891778e+00
## Pedestrian-Commercial bus -2.569491e+00
## Pickup-Commercial bus 9.505468e+00
## Police-Commercial bus -2.762985e+00
## School bus-Commercial bus 7.767308e+00
## Single unit truck (2-axle, 6-tire)-Commercial bus -1.446992e+00
## Single unit truck (3 or more axles)-Commercial bus -2.584811e+00
## Sport utility-Commercial bus 3.182881e+01
## Taxicab-Commercial bus -2.613574e+00
## Tractor/doubles-Commercial bus -3.001923e+00
## Tractor/semi-trailer-Commercial bus -2.533095e+00
## Truck/tractor (i.e., bobtail)-Commercial bus -2.970673e+00
## Truck/trailer-Commercial bus -2.277040e+00
## Unknown heavy truck-Commercial bus -2.826598e+00
## Van-Commercial bus 4.638023e+00
## Farm equipment-EMS Vehicle, Ambulance, Rescue Squad -1.092486e+00
## Farm tractor-EMS Vehicle, Ambulance, Rescue Squad -1.092486e+00
## Firetruck-EMS Vehicle, Ambulance, Rescue Squad 2.408478e-01
## Light truck (mini-van, panel)-EMS Vehicle, Ambulance, Rescue Squad 1.300600e+00
## Military-EMS Vehicle, Ambulance, Rescue Squad -1.092486e+00
## Moped-EMS Vehicle, Ambulance, Rescue Squad -9.813744e-01
## Motor home/recreational vehicle-EMS Vehicle, Ambulance, Rescue Squad -5.661698e-01
## Motor scooter or motor bike-EMS Vehicle, Ambulance, Rescue Squad -1.067486e+00
## Motorcycle-EMS Vehicle, Ambulance, Rescue Squad -6.989372e-01
## Other bus-EMS Vehicle, Ambulance, Rescue Squad 7.091018e-01
## Other*-EMS Vehicle, Ambulance, Rescue Squad -9.885894e-01
## Passenger car-EMS Vehicle, Ambulance, Rescue Squad 8.812122e+01
## Pedal cycle-EMS Vehicle, Ambulance, Rescue Squad -9.823406e-01
## Pedestrian-EMS Vehicle, Ambulance, Rescue Squad -6.600531e-01
## Pickup-EMS Vehicle, Ambulance, Rescue Squad 1.141491e+01
## Police-EMS Vehicle, Ambulance, Rescue Squad -8.535475e-01
## School bus-EMS Vehicle, Ambulance, Rescue Squad 9.676745e+00
## Single unit truck (2-axle, 6-tire)-EMS Vehicle, Ambulance, Rescue Squad 4.624458e-01
## Single unit truck (3 or more axles)-EMS Vehicle, Ambulance, Rescue Squad -6.753732e-01
## Sport utility-EMS Vehicle, Ambulance, Rescue Squad 3.373825e+01
## Taxicab-EMS Vehicle, Ambulance, Rescue Squad -7.041360e-01
## Tractor/doubles-EMS Vehicle, Ambulance, Rescue Squad -1.092486e+00
## Tractor/semi-trailer-EMS Vehicle, Ambulance, Rescue Squad -6.236576e-01
## Truck/tractor (i.e., bobtail)-EMS Vehicle, Ambulance, Rescue Squad -1.061236e+00
## Truck/trailer-EMS Vehicle, Ambulance, Rescue Squad -3.676029e-01
## Unknown heavy truck-EMS Vehicle, Ambulance, Rescue Squad -9.171609e-01
## Van-EMS Vehicle, Ambulance, Rescue Squad 6.547461e+00
## Farm tractor-Farm equipment 7.709389e-12
## Firetruck-Farm equipment 1.333333e+00
## Light truck (mini-van, panel)-Farm equipment 2.393085e+00
## Military-Farm equipment -1.143974e-12
## Moped-Farm equipment 1.111111e-01
## Motor home/recreational vehicle-Farm equipment 5.263158e-01
## Motor scooter or motor bike-Farm equipment 2.500000e-02
## Motorcycle-Farm equipment 3.935484e-01
## Other bus-Farm equipment 1.801587e+00
## Other*-Farm equipment 1.038961e-01
## Passenger car-Farm equipment 8.921370e+01
## Pedal cycle-Farm equipment 1.101449e-01
## Pedestrian-Farm equipment 4.324324e-01
## Pickup-Farm equipment 1.250739e+01
## Police-Farm equipment 2.389381e-01
## School bus-Farm equipment 1.076923e+01
## Single unit truck (2-axle, 6-tire)-Farm equipment 1.554931e+00
## Single unit truck (3 or more axles)-Farm equipment 4.171123e-01
## Sport utility-Farm equipment 3.483074e+01
## Taxicab-Farm equipment 3.883495e-01
## Tractor/doubles-Farm equipment 1.080380e-11
## Tractor/semi-trailer-Farm equipment 4.688279e-01
## Truck/tractor (i.e., bobtail)-Farm equipment 3.125000e-02
## Truck/trailer-Farm equipment 7.248826e-01
## Unknown heavy truck-Farm equipment 1.753247e-01
## Van-Farm equipment 7.639946e+00
## Firetruck-Farm tractor 1.333333e+00
## Light truck (mini-van, panel)-Farm tractor 2.393085e+00
## Military-Farm tractor -8.853362e-12
## Moped-Farm tractor 1.111111e-01
## Motor home/recreational vehicle-Farm tractor 5.263158e-01
## Motor scooter or motor bike-Farm tractor 2.500000e-02
## Motorcycle-Farm tractor 3.935484e-01
## Other bus-Farm tractor 1.801587e+00
## Other*-Farm tractor 1.038961e-01
## Passenger car-Farm tractor 8.921370e+01
## Pedal cycle-Farm tractor 1.101449e-01
## Pedestrian-Farm tractor 4.324324e-01
## Pickup-Farm tractor 1.250739e+01
## Police-Farm tractor 2.389381e-01
## School bus-Farm tractor 1.076923e+01
## Single unit truck (2-axle, 6-tire)-Farm tractor 1.554931e+00
## Single unit truck (3 or more axles)-Farm tractor 4.171123e-01
## Sport utility-Farm tractor 3.483074e+01
## Taxicab-Farm tractor 3.883495e-01
## Tractor/doubles-Farm tractor 3.094414e-12
## Tractor/semi-trailer-Farm tractor 4.688279e-01
## Truck/tractor (i.e., bobtail)-Farm tractor 3.125000e-02
## Truck/trailer-Farm tractor 7.248826e-01
## Unknown heavy truck-Farm tractor 1.753247e-01
## Van-Farm tractor 7.639946e+00
## Light truck (mini-van, panel)-Firetruck 1.059752e+00
## Military-Firetruck -1.333333e+00
## Moped-Firetruck -1.222222e+00
## Motor home/recreational vehicle-Firetruck -8.070175e-01
## Motor scooter or motor bike-Firetruck -1.308333e+00
## Motorcycle-Firetruck -9.397849e-01
## Other bus-Firetruck 4.682540e-01
## Other*-Firetruck -1.229437e+00
## Passenger car-Firetruck 8.788037e+01
## Pedal cycle-Firetruck -1.223188e+00
## Pedestrian-Firetruck -9.009009e-01
## Pickup-Firetruck 1.117406e+01
## Police-Firetruck -1.094395e+00
## School bus-Firetruck 9.435897e+00
## Single unit truck (2-axle, 6-tire)-Firetruck 2.215980e-01
## Single unit truck (3 or more axles)-Firetruck -9.162210e-01
## Sport utility-Firetruck 3.349740e+01
## Taxicab-Firetruck -9.449838e-01
## Tractor/doubles-Firetruck -1.333333e+00
## Tractor/semi-trailer-Firetruck -8.645054e-01
## Truck/tractor (i.e., bobtail)-Firetruck -1.302083e+00
## Truck/trailer-Firetruck -6.084507e-01
## Unknown heavy truck-Firetruck -1.158009e+00
## Van-Firetruck 6.306613e+00
## Military-Light truck (mini-van, panel) -2.393085e+00
## Moped-Light truck (mini-van, panel) -2.281974e+00
## Motor home/recreational vehicle-Light truck (mini-van, panel) -1.866769e+00
## Motor scooter or motor bike-Light truck (mini-van, panel) -2.368085e+00
## Motorcycle-Light truck (mini-van, panel) -1.999537e+00
## Other bus-Light truck (mini-van, panel) -5.914978e-01
## Other*-Light truck (mini-van, panel) -2.289189e+00
## Passenger car-Light truck (mini-van, panel) 8.682062e+01
## Pedal cycle-Light truck (mini-van, panel) -2.282940e+00
## Pedestrian-Light truck (mini-van, panel) -1.960653e+00
## Pickup-Light truck (mini-van, panel) 1.011431e+01
## Police-Light truck (mini-van, panel) -2.154147e+00
## School bus-Light truck (mini-van, panel) 8.376146e+00
## Single unit truck (2-axle, 6-tire)-Light truck (mini-van, panel) -8.381538e-01
## Single unit truck (3 or more axles)-Light truck (mini-van, panel) -1.975973e+00
## Sport utility-Light truck (mini-van, panel) 3.243765e+01
## Taxicab-Light truck (mini-van, panel) -2.004736e+00
## Tractor/doubles-Light truck (mini-van, panel) -2.393085e+00
## Tractor/semi-trailer-Light truck (mini-van, panel) -1.924257e+00
## Truck/tractor (i.e., bobtail)-Light truck (mini-van, panel) -2.361835e+00
## Truck/trailer-Light truck (mini-van, panel) -1.668202e+00
## Unknown heavy truck-Light truck (mini-van, panel) -2.217760e+00
## Van-Light truck (mini-van, panel) 5.246861e+00
## Moped-Military 1.111111e-01
## Motor home/recreational vehicle-Military 5.263158e-01
## Motor scooter or motor bike-Military 2.500000e-02
## Motorcycle-Military 3.935484e-01
## Other bus-Military 1.801587e+00
## Other*-Military 1.038961e-01
## Passenger car-Military 8.921370e+01
## Pedal cycle-Military 1.101449e-01
## Pedestrian-Military 4.324324e-01
## Pickup-Military 1.250739e+01
## Police-Military 2.389381e-01
## School bus-Military 1.076923e+01
## Single unit truck (2-axle, 6-tire)-Military 1.554931e+00
## Single unit truck (3 or more axles)-Military 4.171123e-01
## Sport utility-Military 3.483074e+01
## Taxicab-Military 3.883495e-01
## Tractor/doubles-Military 1.194778e-11
## Tractor/semi-trailer-Military 4.688279e-01
## Truck/tractor (i.e., bobtail)-Military 3.125000e-02
## Truck/trailer-Military 7.248826e-01
## Unknown heavy truck-Military 1.753247e-01
## Van-Military 7.639946e+00
## Motor home/recreational vehicle-Moped 4.152047e-01
## Motor scooter or motor bike-Moped -8.611111e-02
## Motorcycle-Moped 2.824373e-01
## Other bus-Moped 1.690476e+00
## Other*-Moped -7.215007e-03
## Passenger car-Moped 8.910259e+01
## Pedal cycle-Moped -9.661836e-04
## Pedestrian-Moped 3.213213e-01
## Pickup-Moped 1.239628e+01
## Police-Moped 1.278269e-01
## School bus-Moped 1.065812e+01
## Single unit truck (2-axle, 6-tire)-Moped 1.443820e+00
## Single unit truck (3 or more axles)-Moped 3.060012e-01
## Sport utility-Moped 3.471962e+01
## Taxicab-Moped 2.772384e-01
## Tractor/doubles-Moped -1.111111e-01
## Tractor/semi-trailer-Moped 3.577168e-01
## Truck/tractor (i.e., bobtail)-Moped -7.986111e-02
## Truck/trailer-Moped 6.137715e-01
## Unknown heavy truck-Moped 6.421356e-02
## Van-Moped 7.528835e+00
## Motor scooter or motor bike-Motor home/recreational vehicle -5.013158e-01
## Motorcycle-Motor home/recreational vehicle -1.327674e-01
## Other bus-Motor home/recreational vehicle 1.275272e+00
## Other*-Motor home/recreational vehicle -4.224197e-01
## Passenger car-Motor home/recreational vehicle 8.868739e+01
## Pedal cycle-Motor home/recreational vehicle -4.161709e-01
## Pedestrian-Motor home/recreational vehicle -9.388336e-02
## Pickup-Motor home/recreational vehicle 1.198108e+01
## Police-Motor home/recreational vehicle -2.873777e-01
## School bus-Motor home/recreational vehicle 1.024291e+01
## Single unit truck (2-axle, 6-tire)-Motor home/recreational vehicle 1.028616e+00
## Single unit truck (3 or more axles)-Motor home/recreational vehicle -1.092035e-01
## Sport utility-Motor home/recreational vehicle 3.430442e+01
## Taxicab-Motor home/recreational vehicle -1.379663e-01
## Tractor/doubles-Motor home/recreational vehicle -5.263158e-01
## Tractor/semi-trailer-Motor home/recreational vehicle -5.748786e-02
## Truck/tractor (i.e., bobtail)-Motor home/recreational vehicle -4.950658e-01
## Truck/trailer-Motor home/recreational vehicle 1.985668e-01
## Unknown heavy truck-Motor home/recreational vehicle -3.509911e-01
## Van-Motor home/recreational vehicle 7.113630e+00
## Motorcycle-Motor scooter or motor bike 3.685484e-01
## Other bus-Motor scooter or motor bike 1.776587e+00
## Other*-Motor scooter or motor bike 7.889610e-02
## Passenger car-Motor scooter or motor bike 8.918870e+01
## Pedal cycle-Motor scooter or motor bike 8.514493e-02
## Pedestrian-Motor scooter or motor bike 4.074324e-01
## Pickup-Motor scooter or motor bike 1.248239e+01
## Police-Motor scooter or motor bike 2.139381e-01
## School bus-Motor scooter or motor bike 1.074423e+01
## Single unit truck (2-axle, 6-tire)-Motor scooter or motor bike 1.529931e+00
## Single unit truck (3 or more axles)-Motor scooter or motor bike 3.921123e-01
## Sport utility-Motor scooter or motor bike 3.480574e+01
## Taxicab-Motor scooter or motor bike 3.633495e-01
## Tractor/doubles-Motor scooter or motor bike -2.500000e-02
## Tractor/semi-trailer-Motor scooter or motor bike 4.438279e-01
## Truck/tractor (i.e., bobtail)-Motor scooter or motor bike 6.250000e-03
## Truck/trailer-Motor scooter or motor bike 6.998826e-01
## Unknown heavy truck-Motor scooter or motor bike 1.503247e-01
## Van-Motor scooter or motor bike 7.614946e+00
## Other bus-Motorcycle 1.408039e+00
## Other*-Motorcycle -2.896523e-01
## Passenger car-Motorcycle 8.882015e+01
## Pedal cycle-Motorcycle -2.834035e-01
## Pedestrian-Motorcycle 3.888405e-02
## Pickup-Motorcycle 1.211384e+01
## Police-Motorcycle -1.546103e-01
## School bus-Motorcycle 1.037568e+01
## Single unit truck (2-axle, 6-tire)-Motorcycle 1.161383e+00
## Single unit truck (3 or more axles)-Motorcycle 2.356391e-02
## Sport utility-Motorcycle 3.443719e+01
## Taxicab-Motorcycle -5.198873e-03
## Tractor/doubles-Motorcycle -3.935484e-01
## Tractor/semi-trailer-Motorcycle 7.527954e-02
## Truck/tractor (i.e., bobtail)-Motorcycle -3.622984e-01
## Truck/trailer-Motorcycle 3.313342e-01
## Unknown heavy truck-Motorcycle -2.182237e-01
## Van-Motorcycle 7.246398e+00
## Other*-Other bus -1.697691e+00
## Passenger car-Other bus 8.741211e+01
## Pedal cycle-Other bus -1.691442e+00
## Pedestrian-Other bus -1.369155e+00
## Pickup-Other bus 1.070580e+01
## Police-Other bus -1.562649e+00
## School bus-Other bus 8.967643e+00
## Single unit truck (2-axle, 6-tire)-Other bus -2.466560e-01
## Single unit truck (3 or more axles)-Other bus -1.384475e+00
## Sport utility-Other bus 3.302915e+01
## Taxicab-Other bus -1.413238e+00
## Tractor/doubles-Other bus -1.801587e+00
## Tractor/semi-trailer-Other bus -1.332759e+00
## Truck/tractor (i.e., bobtail)-Other bus -1.770337e+00
## Truck/trailer-Other bus -1.076705e+00
## Unknown heavy truck-Other bus -1.626263e+00
## Van-Other bus 5.838359e+00
## Passenger car-Other* 8.910980e+01
## Pedal cycle-Other* 6.248824e-03
## Pedestrian-Other* 3.285363e-01
## Pickup-Other* 1.240350e+01
## Police-Other* 1.350419e-01
## School bus-Other* 1.066533e+01
## Single unit truck (2-axle, 6-tire)-Other* 1.451035e+00
## Single unit truck (3 or more axles)-Other* 3.132162e-01
## Sport utility-Other* 3.472684e+01
## Taxicab-Other* 2.844534e-01
## Tractor/doubles-Other* -1.038961e-01
## Tractor/semi-trailer-Other* 3.649318e-01
## Truck/tractor (i.e., bobtail)-Other* -7.264610e-02
## Truck/trailer-Other* 6.209865e-01
## Unknown heavy truck-Other* 7.142857e-02
## Van-Other* 7.536050e+00
## Pedal cycle-Passenger car -8.910356e+01
## Pedestrian-Passenger car -8.878127e+01
## Pickup-Passenger car -7.670631e+01
## Police-Passenger car -8.897476e+01
## School bus-Passenger car -7.844447e+01
## Single unit truck (2-axle, 6-tire)-Passenger car -8.765877e+01
## Single unit truck (3 or more axles)-Passenger car -8.879659e+01
## Sport utility-Passenger car -5.438297e+01
## Taxicab-Passenger car -8.882535e+01
## Tractor/doubles-Passenger car -8.921370e+01
## Tractor/semi-trailer-Passenger car -8.874487e+01
## Truck/tractor (i.e., bobtail)-Passenger car -8.918245e+01
## Truck/trailer-Passenger car -8.848882e+01
## Unknown heavy truck-Passenger car -8.903838e+01
## Van-Passenger car -8.157375e+01
## Pedestrian-Pedal cycle 3.222875e-01
## Pickup-Pedal cycle 1.239725e+01
## Police-Pedal cycle 1.287931e-01
## School bus-Pedal cycle 1.065909e+01
## Single unit truck (2-axle, 6-tire)-Pedal cycle 1.444786e+00
## Single unit truck (3 or more axles)-Pedal cycle 3.069674e-01
## Sport utility-Pedal cycle 3.472059e+01
## Taxicab-Pedal cycle 2.782046e-01
## Tractor/doubles-Pedal cycle -1.101449e-01
## Tractor/semi-trailer-Pedal cycle 3.586830e-01
## Truck/tractor (i.e., bobtail)-Pedal cycle -7.889493e-02
## Truck/trailer-Pedal cycle 6.147377e-01
## Unknown heavy truck-Pedal cycle 6.517975e-02
## Van-Pedal cycle 7.529801e+00
## Pickup-Pedestrian 1.207496e+01
## Police-Pedestrian -1.934944e-01
## School bus-Pedestrian 1.033680e+01
## Single unit truck (2-axle, 6-tire)-Pedestrian 1.122499e+00
## Single unit truck (3 or more axles)-Pedestrian -1.532013e-02
## Sport utility-Pedestrian 3.439830e+01
## Taxicab-Pedestrian -4.408292e-02
## Tractor/doubles-Pedestrian -4.324324e-01
## Tractor/semi-trailer-Pedestrian 3.639550e-02
## Truck/tractor (i.e., bobtail)-Pedestrian -4.011824e-01
## Truck/trailer-Pedestrian 2.924502e-01
## Unknown heavy truck-Pedestrian -2.571078e-01
## Van-Pedestrian 7.207514e+00
## Police-Pickup -1.226845e+01
## School bus-Pickup -1.738161e+00
## Single unit truck (2-axle, 6-tire)-Pickup -1.095246e+01
## Single unit truck (3 or more axles)-Pickup -1.209028e+01
## Sport utility-Pickup 2.232334e+01
## Taxicab-Pickup -1.211904e+01
## Tractor/doubles-Pickup -1.250739e+01
## Tractor/semi-trailer-Pickup -1.203856e+01
## Truck/tractor (i.e., bobtail)-Pickup -1.247614e+01
## Truck/trailer-Pickup -1.178251e+01
## Unknown heavy truck-Pickup -1.233207e+01
## Van-Pickup -4.867445e+00
## School bus-Police 1.053029e+01
## Single unit truck (2-axle, 6-tire)-Police 1.315993e+00
## Single unit truck (3 or more axles)-Police 1.781742e-01
## Sport utility-Police 3.459180e+01
## Taxicab-Police 1.494115e-01
## Tractor/doubles-Police -2.389381e-01
## Tractor/semi-trailer-Police 2.298899e-01
## Truck/tractor (i.e., bobtail)-Police -2.076881e-01
## Truck/trailer-Police 4.859446e-01
## Unknown heavy truck-Police -6.361338e-02
## Van-Police 7.401008e+00
## Single unit truck (2-axle, 6-tire)-School bus -9.214299e+00
## Single unit truck (3 or more axles)-School bus -1.035212e+01
## Sport utility-School bus 2.406151e+01
## Taxicab-School bus -1.038088e+01
## Tractor/doubles-School bus -1.076923e+01
## Tractor/semi-trailer-School bus -1.030040e+01
## Truck/tractor (i.e., bobtail)-School bus -1.073798e+01
## Truck/trailer-School bus -1.004435e+01
## Unknown heavy truck-School bus -1.059391e+01
## Van-School bus -3.129285e+00
## Single unit truck (3 or more axles)-Single unit truck (2-axle, 6-tire) -1.137819e+00
## Sport utility-Single unit truck (2-axle, 6-tire) 3.327580e+01
## Taxicab-Single unit truck (2-axle, 6-tire) -1.166582e+00
## Tractor/doubles-Single unit truck (2-axle, 6-tire) -1.554931e+00
## Tractor/semi-trailer-Single unit truck (2-axle, 6-tire) -1.086103e+00
## Truck/tractor (i.e., bobtail)-Single unit truck (2-axle, 6-tire) -1.523681e+00
## Truck/trailer-Single unit truck (2-axle, 6-tire) -8.300487e-01
## Unknown heavy truck-Single unit truck (2-axle, 6-tire) -1.379607e+00
## Van-Single unit truck (2-axle, 6-tire) 6.085015e+00
## Sport utility-Single unit truck (3 or more axles) 3.441362e+01
## Taxicab-Single unit truck (3 or more axles) -2.876278e-02
## Tractor/doubles-Single unit truck (3 or more axles) -4.171123e-01
## Tractor/semi-trailer-Single unit truck (3 or more axles) 5.171563e-02
## Truck/tractor (i.e., bobtail)-Single unit truck (3 or more axles) -3.858623e-01
## Truck/trailer-Single unit truck (3 or more axles) 3.077703e-01
## Unknown heavy truck-Single unit truck (3 or more axles) -2.417876e-01
## Van-Single unit truck (3 or more axles) 7.222834e+00
## Taxicab-Sport utility -3.444239e+01
## Tractor/doubles-Sport utility -3.483074e+01
## Tractor/semi-trailer-Sport utility -3.436191e+01
## Truck/tractor (i.e., bobtail)-Sport utility -3.479949e+01
## Truck/trailer-Sport utility -3.410585e+01
## Unknown heavy truck-Sport utility -3.465541e+01
## Van-Sport utility -2.719079e+01
## Tractor/doubles-Taxicab -3.883495e-01
## Tractor/semi-trailer-Taxicab 8.047842e-02
## Truck/tractor (i.e., bobtail)-Taxicab -3.570995e-01
## Truck/trailer-Taxicab 3.365331e-01
## Unknown heavy truck-Taxicab -2.130248e-01
## Van-Taxicab 7.251597e+00
## Tractor/semi-trailer-Tractor/doubles 4.688279e-01
## Truck/tractor (i.e., bobtail)-Tractor/doubles 3.125000e-02
## Truck/trailer-Tractor/doubles 7.248826e-01
## Unknown heavy truck-Tractor/doubles 1.753247e-01
## Van-Tractor/doubles 7.639946e+00
## Truck/tractor (i.e., bobtail)-Tractor/semi-trailer -4.375779e-01
## Truck/trailer-Tractor/semi-trailer 2.560547e-01
## Unknown heavy truck-Tractor/semi-trailer -2.935033e-01
## Van-Tractor/semi-trailer 7.171118e+00
## Truck/trailer-Truck/tractor (i.e., bobtail) 6.936326e-01
## Unknown heavy truck-Truck/tractor (i.e., bobtail) 1.440747e-01
## Van-Truck/tractor (i.e., bobtail) 7.608696e+00
## Unknown heavy truck-Truck/trailer -5.495580e-01
## Van-Truck/trailer 6.915064e+00
## Van-Unknown heavy truck 7.464622e+00
## lwr
## All terrain vehicle (ATV)-Activity bus -14.2152109
## Commercial bus-Activity bus -3.8785013
## EMS Vehicle, Ambulance, Rescue Squad-Activity bus -6.7585359
## Farm equipment-Activity bus -17.1903720
## Farm tractor-Activity bus -17.1903720
## Firetruck-Activity bus -7.6547638
## Light truck (mini-van, panel)-Activity bus -4.0630183
## Military-Activity bus -48.2567026
## Moped-Activity bus -7.0881150
## Motor home/recreational vehicle-Activity bus -10.6753262
## Motor scooter or motor bike-Activity bus -11.0060826
## Motorcycle-Activity bus -6.3006222
## Other bus-Activity bus -6.5094186
## Other*-Activity bus -7.9043306
## Passenger car-Activity bus 82.7907291
## Pedal cycle-Activity bus -7.0394240
## Pedestrian-Activity bus -6.1514546
## Pickup-Activity bus 6.0831231
## Police-Activity bus -6.9242555
## School bus-Activity bus 3.7928853
## Single unit truck (2-axle, 6-tire)-Activity bus -4.9311226
## Single unit truck (3 or more axles)-Activity bus -6.2911235
## Sport utility-Activity bus 28.4070879
## Taxicab-Activity bus -6.8500203
## Tractor/doubles-Activity bus -15.3008356
## Tractor/semi-trailer-Activity bus -6.2121704
## Truck/tractor (i.e., bobtail)-Activity bus -9.6523878
## Truck/trailer-Activity bus -5.8611951
## Unknown heavy truck-Activity bus -7.8329020
## Van-Activity bus 1.2113830
## Commercial bus-All terrain vehicle (ATV) -7.8456254
## EMS Vehicle, Ambulance, Rescue Squad-All terrain vehicle (ATV) -10.1094635
## Farm equipment-All terrain vehicle (ATV) -17.2496338
## Farm tractor-All terrain vehicle (ATV) -17.2496338
## Firetruck-All terrain vehicle (ATV) -10.3737122
## Light truck (mini-van, panel)-All terrain vehicle (ATV) -8.3237399
## Military-All terrain vehicle (ATV) -46.1206127
## Moped-All terrain vehicle (ATV) -10.8445435
## Motor home/recreational vehicle-All terrain vehicle (ATV) -12.3984479
## Motor scooter or motor bike-All terrain vehicle (ATV) -12.7963797
## Motorcycle-All terrain vehicle (ATV) -10.3947404
## Other bus-All terrain vehicle (ATV) -9.5936180
## Other*-All terrain vehicle (ATV) -11.1623438
## Passenger car-All terrain vehicle (ATV) 78.5064357
## Pedal cycle-All terrain vehicle (ATV) -10.8281246
## Pedestrian-All terrain vehicle (ATV) -10.3221487
## Pickup-All terrain vehicle (ATV) 1.7997538
## Police-All terrain vehicle (ATV) -10.7040817
## School bus-All terrain vehicle (ATV) -0.1099662
## Single unit truck (2-axle, 6-tire)-All terrain vehicle (ATV) -9.1706172
## Single unit truck (3 or more axles)-All terrain vehicle (ATV) -10.3755497
## Sport utility-All terrain vehicle (ATV) 24.1232765
## Taxicab-All terrain vehicle (ATV) -10.5811498
## Tractor/doubles-All terrain vehicle (ATV) -15.7671564
## Tractor/semi-trailer-All terrain vehicle (ATV) -10.3153805
## Truck/tractor (i.e., bobtail)-All terrain vehicle (ATV) -12.0276535
## Truck/trailer-All terrain vehicle (ATV) -10.0303580
## Unknown heavy truck-All terrain vehicle (ATV) -11.0909153
## Van-All terrain vehicle (ATV) -3.0689257
## EMS Vehicle, Ambulance, Rescue Squad-Commercial bus -5.8399472
## Farm equipment-Commercial bus -16.6463791
## Farm tractor-Commercial bus -16.6463791
## Firetruck-Commercial bus -6.8558738
## Light truck (mini-van, panel)-Commercial bus -2.8277087
## Military-Commercial bus -47.8273227
## Moped-Commercial bus -6.0604088
## Motor home/recreational vehicle-Commercial bus -10.0010250
## Motor scooter or motor bike-Commercial bus -10.3249261
## Motorcycle-Commercial bus -5.1469458
## Other bus-Commercial bus -5.6470201
## Other*-Commercial bus -7.0064476
## Passenger car-Commercial bus 84.0390599
## Pedal cycle-Commercial bus -6.0013730
## Pedestrian-Commercial bus -4.9623289
## Pickup-Commercial bus 7.3309355
## Police-Commercial bus -5.8890791
## School bus-Commercial bus 4.8700861
## Single unit truck (2-axle, 6-tire)-Commercial bus -3.7071911
## Single unit truck (3 or more axles)-Commercial bus -5.1417131
## Sport utility-Commercial bus 29.6551482
## Taxicab-Commercial bus -5.8302200
## Tractor/doubles-Commercial bus -14.7302637
## Tractor/semi-trailer-Commercial bus -5.0544493
## Truck/tractor (i.e., bobtail)-Commercial bus -8.9029545
## Truck/trailer-Commercial bus -4.6728105
## Unknown heavy truck-Commercial bus -6.9350190
## Van-Commercial bus 2.4574832
## Farm equipment-EMS Vehicle, Ambulance, Rescue Squad -15.0175270
## Farm tractor-EMS Vehicle, Ambulance, Rescue Squad -15.0175270
## Firetruck-EMS Vehicle, Ambulance, Rescue Squad -5.6450264
## Light truck (mini-van, panel)-EMS Vehicle, Ambulance, Rescue Squad -2.2573475
## Military-EMS Vehicle, Ambulance, Rescue Squad -46.0040882
## Moped-EMS Vehicle, Ambulance, Rescue Squad -5.1982387
## Motor home/recreational vehicle-EMS Vehicle, Ambulance, Rescue Squad -8.5891063
## Motor scooter or motor bike-EMS Vehicle, Ambulance, Rescue Squad -8.9242500
## Motorcycle-EMS Vehicle, Ambulance, Rescue Squad -4.4645637
## Other bus-EMS Vehicle, Ambulance, Rescue Squad -4.5357625
## Other*-EMS Vehicle, Ambulance, Rescue Squad -5.9499118
## Passenger car-EMS Vehicle, Ambulance, Rescue Squad 84.5918666
## Pedal cycle-EMS Vehicle, Ambulance, Rescue Squad -5.1542922
## Pedestrian-EMS Vehicle, Ambulance, Rescue Squad -4.3290141
## Pickup-EMS Vehicle, Ambulance, Rescue Squad 7.8844395
## Police-EMS Vehicle, Ambulance, Rescue Squad -5.0378113
## School bus-EMS Vehicle, Ambulance, Rescue Squad 5.6605913
## Single unit truck (2-axle, 6-tire)-EMS Vehicle, Ambulance, Rescue Squad -3.1214209
## Single unit truck (3 or more axles)-EMS Vehicle, Ambulance, Rescue Squad -4.4533819
## Sport utility-EMS Vehicle, Ambulance, Rescue Squad 30.2083187
## Taxicab-EMS Vehicle, Ambulance, Rescue Squad -4.9564783
## Tractor/doubles-EMS Vehicle, Ambulance, Rescue Squad -13.1460980
## Tractor/semi-trailer-EMS Vehicle, Ambulance, Rescue Squad -4.3776990
## Truck/tractor (i.e., bobtail)-EMS Vehicle, Ambulance, Rescue Squad -7.6131484
## Truck/trailer-EMS Vehicle, Ambulance, Rescue Squad -4.0384767
## Unknown heavy truck-EMS Vehicle, Ambulance, Rescue Squad -5.8784832
## Van-EMS Vehicle, Ambulance, Rescue Squad 3.0132912
## Farm tractor-Farm equipment -19.0952626
## Firetruck-Farm equipment -12.9972560
## Light truck (mini-van, panel)-Farm equipment -11.1487486
## Military-Farm equipment -46.7736499
## Moped-Farm equipment -13.6185727
## Motor home/recreational vehicle-Farm equipment -14.8063221
## Motor scooter or motor bike-Farm equipment -15.2213446
## Motorcycle-Farm equipment -13.2043271
## Other bus-Farm equipment -12.2778614
## Other*-Farm equipment -13.8724050
## Passenger car-Farm equipment 75.6793529
## Pedal cycle-Farm equipment -13.6058113
## Pedestrian-Farm equipment -13.1389915
## Pickup-Farm equipment -1.0272482
## Police-Farm equipment -13.4807681
## School bus-Farm equipment -2.9001425
## Single unit truck (2-axle, 6-tire)-Farm equipment -11.9937356
## Single unit truck (3 or more axles)-Farm equipment -13.1841973
## Sport utility-Farm equipment 21.2962359
## Taxicab-Farm equipment -13.3522723
## Tractor/doubles-Farm equipment -17.7767221
## Tractor/semi-trailer-Farm equipment -13.1258438
## Truck/tractor (i.e., bobtail)-Farm equipment -14.5855156
## Truck/trailer-Farm equipment -12.8470586
## Unknown heavy truck-Farm equipment -13.8009765
## Van-Farm equipment -5.8956597
## Firetruck-Farm tractor -12.9972560
## Light truck (mini-van, panel)-Farm tractor -11.1487486
## Military-Farm tractor -46.7736499
## Moped-Farm tractor -13.6185727
## Motor home/recreational vehicle-Farm tractor -14.8063221
## Motor scooter or motor bike-Farm tractor -15.2213446
## Motorcycle-Farm tractor -13.2043271
## Other bus-Farm tractor -12.2778614
## Other*-Farm tractor -13.8724050
## Passenger car-Farm tractor 75.6793529
## Pedal cycle-Farm tractor -13.6058113
## Pedestrian-Farm tractor -13.1389915
## Pickup-Farm tractor -1.0272482
## Police-Farm tractor -13.4807681
## School bus-Farm tractor -2.9001425
## Single unit truck (2-axle, 6-tire)-Farm tractor -11.9937356
## Single unit truck (3 or more axles)-Farm tractor -13.1841973
## Sport utility-Farm tractor 21.2962359
## Taxicab-Farm tractor -13.3522723
## Tractor/doubles-Farm tractor -17.7767221
## Tractor/semi-trailer-Farm tractor -13.1258438
## Truck/tractor (i.e., bobtail)-Farm tractor -14.5855156
## Truck/trailer-Farm tractor -12.8470586
## Unknown heavy truck-Farm tractor -13.8009765
## Van-Farm tractor -5.8956597
## Light truck (mini-van, panel)-Firetruck -3.8512559
## Military-Firetruck -46.3723282
## Moped-Firetruck -6.6297127
## Motor home/recreational vehicle-Firetruck -9.5148600
## Motor scooter or motor bike-Firetruck -9.8633177
## Motorcycle-Firetruck -6.0032770
## Other bus-Firetruck -5.7741502
## Other*-Firetruck -7.2355781
## Passenger car-Firetruck 82.9900392
## Pedal cycle-Firetruck -6.5957287
## Pedestrian-Firetruck -5.8929229
## Pickup-Firetruck 6.2829230
## Police-Firetruck -6.4765020
## School bus-Firetruck 4.1834217
## Single unit truck (2-axle, 6-tire)-Firetruck -4.7082204
## Single unit truck (3 or more axles)-Firetruck -5.9889282
## Sport utility-Firetruck 28.6066535
## Taxicab-Firetruck -6.3801860
## Tractor/doubles-Firetruck -13.8532607
## Tractor/semi-trailer-Firetruck -5.9193877
## Truck/tractor (i.e., bobtail)-Firetruck -8.6768085
## Truck/trailer-Firetruck -5.6018787
## Unknown heavy truck-Firetruck -7.1641495
## Van-Firetruck 1.4128043
## Military-Light truck (mini-van, panel) -47.1873541
## Moped-Light truck (mini-van, panel) -4.9757492
## Motor home/recreational vehicle-Light truck (mini-van, panel) -9.2044796
## Motor scooter or motor bike-Light truck (mini-van, panel) -9.5237283
## Motorcycle-Light truck (mini-van, panel) -3.9111915
## Other bus-Light truck (mini-van, panel) -4.7125513
## Other*-Light truck (mini-van, panel) -6.0427473
## Passenger car-Light truck (mini-van, panel) 85.4310894
## Pedal cycle-Light truck (mini-van, panel) -4.9058509
## Pedestrian-Light truck (mini-van, panel) -3.6740572
## Pickup-Light truck (mini-van, panel) 8.7219438
## Police-Light truck (mini-van, panel) -4.7965975
## School bus-Light truck (mini-van, panel) 6.0088744
## Single unit truck (2-axle, 6-tire)-Light truck (mini-van, panel) -2.3608427
## Single unit truck (3 or more axles)-Light truck (mini-van, panel) -3.9119041
## Sport utility-Light truck (mini-van, panel) 31.0466446
## Taxicab-Light truck (mini-van, panel) -4.7537163
## Tractor/doubles-Light truck (mini-van, panel) -14.0018772
## Tractor/semi-trailer-Light truck (mini-van, panel) -3.8129888
## Truck/tractor (i.e., bobtail)-Light truck (mini-van, panel) -8.0541144
## Truck/trailer-Light truck (mini-van, panel) -3.3856991
## Unknown heavy truck-Light truck (mini-van, panel) -5.9713188
## Van-Light truck (mini-van, panel) 3.8451354
## Moped-Military -44.7403046
## Motor home/recreational vehicle-Military -44.8414597
## Motor scooter or motor bike-Military -45.3136843
## Motorcycle-Military -44.4176945
## Other bus-Military -43.1581296
## Other*-Military -44.8236263
## Passenger car-Military 44.4216945
## Pedal cycle-Military -44.7370704
## Pedestrian-Military -44.3707909
## Pickup-Military -32.2847033
## Police-Military -44.6094243
## School bus-Military -34.0637597
## Single unit truck (2-axle, 6-tire)-Military -43.2414039
## Single unit truck (3 or more axles)-Military -44.3951728
## Sport utility-Military -9.9613165
## Taxicab-Military -44.4664157
## Tractor/doubles-Military -46.2510229
## Tractor/semi-trailer-Military -44.3414429
## Truck/tractor (i.e., bobtail)-Military -45.0996165
## Truck/trailer-Military -44.0784974
## Unknown heavy truck-Military -44.7521977
## Van-Military -37.1524404
## Motor home/recreational vehicle-Moped -7.2636591
## Motor scooter or motor bike-Moped -7.5911884
## Motorcycle-Moped -2.6802272
## Other bus-Moped -3.0112297
## Other*-Moped -4.3903825
## Passenger car-Moped 86.4467020
## Pedal cycle-Moped -3.4654456
## Pedestrian-Moped -2.5174657
## Pickup-Moped 9.7389075
## Police-Moped -3.3514692
## School bus-Moped 7.3829204
## Single unit truck (2-axle, 6-tire)-Moped -1.2840981
## Single unit truck (3 or more axles)-Moped -2.6723854
## Sport utility-Moped 32.0629624
## Taxicab-Moped -3.2836396
## Tractor/doubles-Moped -11.9384950
## Tractor/semi-trailer-Moped -2.5902086
## Truck/tractor (i.e., bobtail)-Moped -6.2056264
## Truck/trailer-Moped -2.2274873
## Unknown heavy truck-Moped -4.3189539
## Van-Moped 4.8665444
## Motor scooter or motor bike-Motor home/recreational vehicle -10.6458588
## Motorcycle-Motor home/recreational vehicle -7.5733956
## Other bus-Motor home/recreational vehicle -7.0127684
## Other*-Motor home/recreational vehicle -8.5339993
## Passenger car-Motor home/recreational vehicle 81.3634991
## Pedal cycle-Motor home/recreational vehicle -8.0704628
## Pedestrian-Motor home/recreational vehicle -7.4860602
## Pickup-Motor home/recreational vehicle 4.6566508
## Police-Motor home/recreational vehicle -7.9483874
## School bus-Motor home/recreational vehicle 2.6724132
## Single unit truck (2-axle, 6-tire)-Motor home/recreational vehicle -6.3216977
## Single unit truck (3 or more axles)-Motor home/recreational vehicle -7.5561058
## Sport utility-Motor home/recreational vehicle 26.9802531
## Taxicab-Motor home/recreational vehicle -7.8363699
## Tractor/doubles-Motor home/recreational vehicle -14.1818120
## Tractor/semi-trailer-Motor home/recreational vehicle -7.4922596
## Truck/tractor (i.e., bobtail)-Motor home/recreational vehicle -9.6662471
## Truck/trailer-Motor home/recreational vehicle -7.1945596
## Unknown heavy truck-Motor home/recreational vehicle -8.4625707
## Van-Motor home/recreational vehicle -0.2125799
## Motorcycle-Motor scooter or motor bike -6.8925937
## Other bus-Motor scooter or motor bike -6.3507027
## Other*-Motor scooter or motor bike -7.8683651
## Passenger car-Motor scooter or motor bike 82.0472344
## Pedal cycle-Motor scooter or motor bike -7.3947897
## Pedestrian-Motor scooter or motor bike -6.8040526
## Pickup-Motor scooter or motor bike 5.3403724
## Police-Motor scooter or motor bike -7.2728707
## School bus-Motor scooter or motor bike 3.3500618
## Single unit truck (2-axle, 6-tire)-Motor scooter or motor bike -5.6386349
## Single unit truck (3 or more axles)-Motor scooter or motor bike -6.8754589
## Sport utility-Motor scooter or motor bike 27.6639813
## Taxicab-Motor scooter or motor bike -7.1617190
## Tractor/doubles-Motor scooter or motor bike -13.5835329
## Tractor/semi-trailer-Motor scooter or motor bike -6.8113129
## Truck/tractor (i.e., bobtail)-Motor scooter or motor bike -9.0199233
## Truck/trailer-Motor scooter or motor bike -6.5125757
## Unknown heavy truck-Motor scooter or motor bike -7.7969366
## Van-Motor scooter or motor bike 0.4710960
## Other bus-Motorcycle -2.8935931
## Other*-Motorcycle -4.2406213
## Passenger car-Motorcycle 86.9622667
## Pedal cycle-Motorcycle -3.1817853
## Pedestrian-Motorcycle -2.0722084
## Pickup-Motorcycle 10.2538351
## Police-Motorcycle -3.0706866
## School bus-Motorcycle 7.7064260
## Single unit truck (2-axle, 6-tire)-Motorcycle -0.7980909
## Single unit truck (3 or more axles)-Motorcycle -2.2718197
## Sport utility-Motorcycle 32.5781947
## Taxicab-Motorcycle -3.0181461
## Tractor/doubles-Motorcycle -12.0676655
## Tractor/semi-trailer-Motorcycle -2.1804384
## Truck/tractor (i.e., bobtail)-Motorcycle -6.1866438
## Truck/trailer-Motorcycle -1.7830808
## Unknown heavy truck-Motorcycle -4.1691927
## Van-Motorcycle 5.3793705
## Other*-Other bus -7.0771720
## Passenger car-Other bus 83.3157253
## Pedal cycle-Other bus -6.3529094
## Pedestrian-Other bus -5.5864252
## Pickup-Other bus 6.6084528
## Police-Other bus -6.2351388
## School bus-Other bus 4.4450793
## Single unit truck (2-axle, 6-tire)-Other bus -4.3901081
## Single unit truck (3 or more axles)-Other bus -5.6969503
## Sport utility-Other bus 28.9322581
## Taxicab-Other bus -6.1467892
## Tractor/doubles-Other bus -14.0332539
## Tractor/semi-trailer-Other bus -5.6242534
## Truck/tractor (i.e., bobtail)-Other bus -8.6443214
## Truck/trailer-Other bus -5.2956392
## Unknown heavy truck-Other bus -7.0057434
## Van-Other bus 1.7378165
## Passenger car-Other* 85.3833433
## Pedal cycle-Other* -4.3337273
## Pedestrian-Other* -3.5304127
## Pickup-Other* 8.6759752
## Police-Other* -4.2167711
## School bus-Other* 6.4749044
## Single unit truck (2-axle, 6-tire)-Other* -2.3271011
## Single unit truck (3 or more axles)-Other* -3.6495558
## Sport utility-Other* 30.9998262
## Taxicab-Other* -4.1328566
## Tractor/doubles-Other* -12.2166904
## Tractor/semi-trailer-Other* -3.5749970
## Truck/tractor (i.e., bobtail)-Other* -6.7328094
## Truck/trailer-Other* -3.2397812
## Unknown heavy truck-Other* -5.0319950
## Van-Other* 3.8050225
## Pedal cycle-Passenger car -91.6875407
## Pedestrian-Passenger car -90.4344688
## Pickup-Passenger car -78.0238790
## Police-Passenger car -91.5785795
## School bus-Passenger car -80.7685376
## Single unit truck (2-axle, 6-tire)-Passenger car -89.1133821
## Single unit truck (3 or more axles)-Passenger car -90.6794445
## Sport utility-Passenger car -55.6991012
## Taxicab-Passenger car -91.5372163
## Tractor/doubles-Passenger car -100.8137600
## Tractor/semi-trailer-Passenger car -90.5791640
## Truck/tractor (i.e., bobtail)-Passenger car -94.8568989
## Truck/trailer-Passenger car -90.1462594
## Unknown heavy truck-Passenger car -92.7648379
## Van-Passenger car -82.9012151
## Pedestrian-Pedal cycle -2.4493453
## Pickup-Pedal cycle 9.8117356
## Police-Pedal cycle -3.2959313
## School bus-Pedal cycle 7.4419184
## Single unit truck (2-axle, 6-tire)-Pedal cycle -1.2131779
## Single unit truck (3 or more axles)-Pedal cycle -2.6074833
## Sport utility-Pedal cycle 32.1358103
## Taxicab-Pedal cycle -3.2293712
## Tractor/doubles-Pedal cycle -11.9215905
## Tractor/semi-trailer-Pedal cycle -2.5246311
## Truck/tractor (i.e., bobtail)-Pedal cycle -6.1738302
## Truck/trailer-Pedal cycle -2.1594266
## Unknown heavy truck-Pedal cycle -4.2747964
## Van-Pedal cycle 4.9392361
## Pickup-Pedestrian 10.4193743
## Police-Pedestrian -2.9836255
## School bus-Pedestrian 7.8057391
## Single unit truck (2-axle, 6-tire)-Pedestrian -0.6440992
## Single unit truck (3 or more axles)-Pedestrian -2.1484205
## Sport utility-Pedestrian 32.7438593
## Taxicab-Pedestrian -2.9353080
## Tractor/doubles-Pedestrian -12.0757284
## Tractor/semi-trailer-Pedestrian -2.0539620
## Truck/tractor (i.e., bobtail)-Pedestrian -6.1635023
## Truck/trailer-Pedestrian -1.6445790
## Unknown heavy truck-Pedestrian -4.1160568
## Van-Pedestrian 5.5440469
## Police-Pickup -14.8737843
## School bus-Pickup -4.0639246
## Single unit truck (2-axle, 6-tire)-Pickup -12.4097817
## Single unit truck (3 or more axles)-Pickup -13.9752286
## Sport utility-Pickup 21.0042148
## Taxicab-Pickup -14.8323608
## Tractor/doubles-Pickup -24.1077904
## Tractor/semi-trailer-Pickup -13.8750035
## Truck/tractor (i.e., bobtail)-Pickup -18.1512843
## Truck/trailer-Pickup -13.4423279
## Unknown heavy truck-Pickup -16.0595866
## Van-Pickup -6.1978736
## School bus-Police 7.2971750
## Single unit truck (2-axle, 6-tire)-Police -1.3612550
## Single unit truck (3 or more axles)-Police -2.7538739
## Sport utility-Police 31.9871914
## Taxicab-Police -3.3727997
## Tractor/doubles-Police -12.0547381
## Tractor/semi-trailer-Police -2.6712106
## Truck/tractor (i.e., bobtail)-Police -6.3110576
## Truck/trailer-Police -2.3067014
## Unknown heavy truck-Police -4.4154264
## Van-Police 4.7906612
## Single unit truck (2-axle, 6-tire)-School bus -11.6203516
## Single unit truck (3 or more axles)-School bus -13.0388145
## Sport utility-School bus 21.7365527
## Taxicab-School bus -13.7016343
## Tractor/doubles-School bus -22.5265502
## Tractor/semi-trailer-School bus -12.9532905
## Truck/tractor (i.e., bobtail)-School bus -16.7273504
## Truck/trailer-School bus -12.5781793
## Unknown heavy truck-School bus -14.7843363
## Van-School bus -5.4606662
## Single unit truck (3 or more axles)-Single unit truck (2-axle, 6-tire) -3.1209841
## Sport utility-Single unit truck (2-axle, 6-tire) 31.8197785
## Taxicab-Single unit truck (2-axle, 6-tire) -3.9490284
## Tractor/doubles-Single unit truck (2-axle, 6-tire) -13.1716937
## Tractor/semi-trailer-Single unit truck (2-axle, 6-tire) -3.0232200
## Truck/tractor (i.e., bobtail)-Single unit truck (2-axle, 6-tire) -7.2321975
## Truck/trailer-Single unit truck (2-axle, 6-tire) -2.6006160
## Unknown heavy truck-Single unit truck (2-axle, 6-tire) -5.1577429
## Van-Single unit truck (2-axle, 6-tire) 4.6187446
## Sport utility-Single unit truck (3 or more axles) 32.5296755
## Taxicab-Single unit truck (3 or more axles) -3.0571711
## Tractor/doubles-Single unit truck (3 or more axles) -12.0952293
## Tractor/semi-trailer-Single unit truck (3 or more axles) -2.2246124
## Truck/tractor (i.e., bobtail)-Single unit truck (3 or more axles) -6.2182208
## Truck/trailer-Single unit truck (3 or more axles) -1.8286184
## Unknown heavy truck-Single unit truck (3 or more axles) -4.2045597
## Van-Single unit truck (3 or more axles) 5.3309574
## Taxicab-Sport utility -37.1550098
## Tractor/doubles-Sport utility -46.4309723
## Tractor/semi-trailer-Sport utility -36.1973201
## Truck/tractor (i.e., bobtail)-Sport utility -40.4742964
## Truck/trailer-Sport utility -35.7645351
## Unknown heavy truck-Sport utility -38.3824249
## Van-Sport utility -28.5197989
## Tractor/doubles-Taxicab -12.2284290
## Tractor/semi-trailer-Taxicab -2.9179769
## Truck/tractor (i.e., bobtail)-Taxicab -6.5073410
## Truck/trailer-Taxicab -2.5571189
## Unknown heavy truck-Taxicab -4.6303348
## Van-Taxicab 4.5334609
## Tractor/semi-trailer-Tractor/doubles -11.2015574
## Truck/tractor (i.e., bobtail)-Tractor/doubles -12.8152526
## Truck/trailer-Tractor/doubles -10.9190162
## Unknown heavy truck-Tractor/doubles -11.9374696
## Van-Tractor/doubles -3.9615804
## Truck/tractor (i.e., bobtail)-Tractor/semi-trailer -6.2544399
## Truck/trailer-Tractor/semi-trailer -1.8376583
## Unknown heavy truck-Tractor/semi-trailer -4.2334321
## Van-Tractor/semi-trailer 5.3275689
## Truck/trailer-Truck/tractor (i.e., bobtail) -5.0699054
## Unknown heavy truck-Truck/tractor (i.e., bobtail) -6.5160887
## Van-Truck/tractor (i.e., bobtail) 1.9312487
## Unknown heavy truck-Truck/trailer -4.4103256
## Van-Truck/trailer 5.2473820
## Van-Unknown heavy truck 3.7335939
## upr
## All terrain vehicle (ATV)-Activity bus 7.67592687
## Commercial bus-Activity bus 3.12084116
## EMS Vehicle, Ambulance, Rescue Squad-Activity bus 2.18200068
## Farm equipment-Activity bus 10.42886570
## Farm tractor-Activity bus 10.42886570
## Firetruck-Activity bus 3.55992424
## Light truck (mini-van, panel)-Activity bus 2.08768221
## Military-Activity bus 41.49519637
## Moped-Activity bus 0.54883096
## Motor home/recreational vehicle-Activity bus 4.96645154
## Motor scooter or motor bike-Activity bus 4.29457628
## Motorcycle-Activity bus 0.32621271
## Other bus-Activity bus 3.35108698
## Other*-Activity bus 1.35061651
## Passenger car-Activity bus 88.87516663
## Pedal cycle-Activity bus 0.49820754
## Pedestrian-Activity bus 0.25481314
## Pickup-Activity bus 12.17015328
## Police-Activity bus 0.64062537
## School bus-Activity bus 10.98407001
## Single unit truck (2-axle, 6-tire)-Activity bus 1.27947895
## Single unit truck (3 or more axles)-Activity bus 0.36384187
## Sport utility-Activity bus 34.49287773
## Taxicab-Activity bus 0.86521304
## Tractor/doubles-Activity bus 8.53932929
## Tractor/semi-trailer-Activity bus 0.38832001
## Truck/tractor (i.e., bobtail)-Activity bus 2.95338148
## Truck/trailer-Activity bus 0.54945413
## Unknown heavy truck-Activity bus 1.42204508
## Van-Activity bus 7.30700321
## Commercial bus-All terrain vehicle (ATV) 13.62724930
## EMS Vehicle, Ambulance, Rescue Squad-All terrain vehicle (ATV) 12.07221239
## Farm equipment-All terrain vehicle (ATV) 17.02741159
## Farm tractor-All terrain vehicle (ATV) 17.02741159
## Firetruck-All terrain vehicle (ATV) 12.81815665
## Light truck (mini-van, panel)-All terrain vehicle (ATV) 12.88768789
## Military-All terrain vehicle (ATV) 45.89839043
## Moped-All terrain vehicle (ATV) 10.84454351
## Motor home/recreational vehicle-All terrain vehicle (ATV) 13.22885721
## Motor scooter or motor bike-All terrain vehicle (ATV) 12.62415750
## Motorcycle-All terrain vehicle (ATV) 10.95961496
## Other bus-All terrain vehicle (ATV) 12.97457034
## Other*-All terrain vehicle (ATV) 11.14791384
## Passenger car-All terrain vehicle (ATV) 99.69874405
## Pedal cycle-All terrain vehicle (ATV) 10.82619227
## Pedestrian-All terrain vehicle (ATV) 10.96479136
## Pickup-All terrain vehicle (ATV) 22.99280662
## Police-All terrain vehicle (ATV) 10.95973554
## School bus-All terrain vehicle (ATV) 21.42620550
## Single unit truck (2-axle, 6-tire)-All terrain vehicle (ATV) 12.05825760
## Single unit truck (3 or more axles)-All terrain vehicle (ATV) 10.98755207
## Sport utility-All terrain vehicle (ATV) 45.31597314
## Taxicab-All terrain vehicle (ATV) 11.13562661
## Tractor/doubles-All terrain vehicle (ATV) 15.54493415
## Tractor/semi-trailer-All terrain vehicle (ATV) 11.03081415
## Truck/tractor (i.e., bobtail)-All terrain vehicle (ATV) 11.86793126
## Truck/trailer-All terrain vehicle (ATV) 11.25790108
## Unknown heavy truck-All terrain vehicle (ATV) 11.21934241
## Van-All terrain vehicle (ATV) 18.12659597
## EMS Vehicle, Ambulance, Rescue Squad-Commercial bus 2.02107219
## Farm equipment-Commercial bus 10.64253296
## Farm tractor-Commercial bus 10.64253296
## Firetruck-Commercial bus 3.51869428
## Light truck (mini-van, panel)-Commercial bus 1.61003278
## Military-Commercial bus 41.82347656
## Moped-Commercial bus 0.27878489
## Motor home/recreational vehicle-Commercial bus 5.04981040
## Motor scooter or motor bike-Commercial bus 4.37107995
## Motorcycle-Commercial bus -0.06980353
## Other bus-Commercial bus 3.24634850
## Other*-Commercial bus 1.21039361
## Passenger car-Commercial bus 88.38449588
## Pedal cycle-Commercial bus 0.21781675
## Pedestrian-Commercial bus -0.17665243
## Pickup-Commercial bus 11.68000094
## Police-Commercial bus 0.36310904
## School bus-Commercial bus 10.66452926
## Single unit truck (2-axle, 6-tire)-Commercial bus 0.81320759
## Single unit truck (3 or more axles)-Commercial bus -0.02790846
## Sport utility-Commercial bus 34.00247747
## Taxicab-Commercial bus 0.60307292
## Tractor/doubles-Commercial bus 8.72641753
## Tractor/semi-trailer-Commercial bus -0.01174099
## Truck/tractor (i.e., bobtail)-Commercial bus 2.96160834
## Truck/trailer-Commercial bus 0.11872964
## Unknown heavy truck-Commercial bus 1.28182218
## Van-Commercial bus 6.81856316
## Farm equipment-EMS Vehicle, Ambulance, Rescue Squad 12.83255594
## Farm tractor-EMS Vehicle, Ambulance, Rescue Squad 12.83255594
## Firetruck-EMS Vehicle, Ambulance, Rescue Squad 6.12672200
## Light truck (mini-van, panel)-EMS Vehicle, Ambulance, Rescue Squad 4.85854659
## Military-EMS Vehicle, Ambulance, Rescue Squad 43.81911710
## Moped-EMS Vehicle, Ambulance, Rescue Squad 3.23548979
## Motor home/recreational vehicle-EMS Vehicle, Ambulance, Rescue Squad 7.45676680
## Motor scooter or motor bike-EMS Vehicle, Ambulance, Rescue Squad 6.78927893
## Motorcycle-EMS Vehicle, Ambulance, Rescue Squad 3.06668938
## Other bus-EMS Vehicle, Ambulance, Rescue Squad 5.95396598
## Other*-EMS Vehicle, Ambulance, Rescue Squad 3.97273290
## Passenger car-EMS Vehicle, Ambulance, Rescue Squad 91.65056426
## Pedal cycle-EMS Vehicle, Ambulance, Rescue Squad 3.18961098
## Pedestrian-EMS Vehicle, Ambulance, Rescue Squad 3.00890783
## Pickup-EMS Vehicle, Ambulance, Rescue Squad 14.94537204
## Police-EMS Vehicle, Ambulance, Rescue Squad 3.33071633
## School bus-EMS Vehicle, Ambulance, Rescue Squad 13.69289917
## Single unit truck (2-axle, 6-tire)-EMS Vehicle, Ambulance, Rescue Squad 4.04631252
## Single unit truck (3 or more axles)-EMS Vehicle, Ambulance, Rescue Squad 3.10263537
## Sport utility-EMS Vehicle, Ambulance, Rescue Squad 37.26818205
## Taxicab-EMS Vehicle, Ambulance, Rescue Squad 3.54820618
## Tractor/doubles-EMS Vehicle, Ambulance, Rescue Squad 10.96112690
## Tractor/semi-trailer-EMS Vehicle, Ambulance, Rescue Squad 3.13038374
## Truck/tractor (i.e., bobtail)-EMS Vehicle, Ambulance, Rescue Squad 5.49067734
## Truck/trailer-EMS Vehicle, Ambulance, Rescue Squad 3.30327082
## Unknown heavy truck-EMS Vehicle, Ambulance, Rescue Squad 4.04416147
## Van-EMS Vehicle, Ambulance, Rescue Squad 10.08163025
## Farm tractor-Farm equipment 19.09526262
## Firetruck-Farm equipment 15.66392262
## Light truck (mini-van, panel)-Farm equipment 15.93491885
## Military-Farm equipment 46.77364991
## Moped-Farm equipment 13.84079494
## Motor home/recreational vehicle-Farm equipment 15.85895369
## Motor scooter or motor bike-Farm equipment 15.27134455
## Motorcycle-Farm equipment 13.99142385
## Other bus-Farm equipment 15.88103597
## Other*-Farm equipment 14.08019724
## Passenger car-Farm equipment 102.74804904
## Pedal cycle-Farm equipment 13.82610111
## Pedestrian-Farm equipment 14.00385640
## Pickup-Farm equipment 26.04203080
## Police-Farm equipment 13.95864424
## School bus-Farm equipment 24.43860407
## Single unit truck (2-axle, 6-tire)-Farm equipment 15.10359823
## Single unit truck (3 or more axles)-Farm equipment 14.01842191
## Sport utility-Farm equipment 48.36523598
## Taxicab-Farm equipment 14.12897135
## Tractor/doubles-Farm equipment 17.77672206
## Tractor/semi-trailer-Farm equipment 14.06349970
## Truck/tractor (i.e., bobtail)-Farm equipment 14.64801560
## Truck/trailer-Farm equipment 14.29682383
## Unknown heavy truck-Farm equipment 14.15162581
## Van-Farm equipment 21.17555221
## Firetruck-Farm tractor 15.66392262
## Light truck (mini-van, panel)-Farm tractor 15.93491885
## Military-Farm tractor 46.77364991
## Moped-Farm tractor 13.84079494
## Motor home/recreational vehicle-Farm tractor 15.85895369
## Motor scooter or motor bike-Farm tractor 15.27134455
## Motorcycle-Farm tractor 13.99142385
## Other bus-Farm tractor 15.88103597
## Other*-Farm tractor 14.08019724
## Passenger car-Farm tractor 102.74804904
## Pedal cycle-Farm tractor 13.82610111
## Pedestrian-Farm tractor 14.00385640
## Pickup-Farm tractor 26.04203080
## Police-Farm tractor 13.95864424
## School bus-Farm tractor 24.43860407
## Single unit truck (2-axle, 6-tire)-Farm tractor 15.10359823
## Single unit truck (3 or more axles)-Farm tractor 14.01842191
## Sport utility-Farm tractor 48.36523598
## Taxicab-Farm tractor 14.12897135
## Tractor/doubles-Farm tractor 17.77672206
## Tractor/semi-trailer-Farm tractor 14.06349970
## Truck/tractor (i.e., bobtail)-Farm tractor 14.64801560
## Truck/trailer-Farm tractor 14.29682383
## Unknown heavy truck-Farm tractor 14.15162581
## Van-Farm tractor 21.17555221
## Light truck (mini-van, panel)-Firetruck 5.97075941
## Military-Firetruck 43.70566156
## Moped-Firetruck 4.18526821
## Motor home/recreational vehicle-Firetruck 7.90082489
## Motor scooter or motor bike-Firetruck 7.24665100
## Motorcycle-Firetruck 4.12370714
## Other bus-Firetruck 6.71065813
## Other*-Firetruck 4.77670365
## Passenger car-Firetruck 92.77069607
## Pedal cycle-Firetruck 4.14935187
## Pedestrian-Firetruck 4.09112106
## Pickup-Firetruck 16.06519292
## Police-Firetruck 4.28771143
## School bus-Firetruck 14.68837318
## Single unit truck (2-axle, 6-tire)-Firetruck 5.15141642
## Single unit truck (3 or more axles)-Firetruck 4.15648614
## Sport utility-Firetruck 38.38815167
## Taxicab-Firetruck 4.49021841
## Tractor/doubles-Firetruck 11.18659406
## Tractor/semi-trailer-Firetruck 4.19037693
## Truck/tractor (i.e., bobtail)-Firetruck 6.07264184
## Truck/trailer-Firetruck 4.38497727
## Unknown heavy truck-Firetruck 4.84813222
## Van-Firetruck 11.20042158
## Military-Light truck (mini-van, panel) 42.40118387
## Moped-Light truck (mini-van, panel) 0.41180118
## Motor home/recreational vehicle-Light truck (mini-van, panel) 5.47094094
## Motor scooter or motor bike-Light truck (mini-van, panel) 4.78755804
## Motorcycle-Light truck (mini-van, panel) -0.08788194
## Other bus-Light truck (mini-van, panel) 3.52955565
## Other*-Light truck (mini-van, panel) 1.46436933
## Passenger car-Light truck (mini-van, panel) 88.21014236
## Pedal cycle-Light truck (mini-van, panel) 0.33997059
## Pedestrian-Light truck (mini-van, panel) -0.24724811
## Pickup-Light truck (mini-van, panel) 11.50666857
## Police-Light truck (mini-van, panel) 0.48830343
## School bus-Light truck (mini-van, panel) 10.74341694
## Single unit truck (2-axle, 6-tire)-Light truck (mini-van, panel) 0.68453513
## Single unit truck (3 or more axles)-Light truck (mini-van, panel) -0.04004153
## Sport utility-Light truck (mini-van, panel) 33.82865706
## Taxicab-Light truck (mini-van, panel) 0.74424515
## Tractor/doubles-Light truck (mini-van, panel) 9.21570699
## Tractor/semi-trailer-Light truck (mini-van, panel) -0.03552552
## Truck/tractor (i.e., bobtail)-Light truck (mini-van, panel) 3.33044416
## Truck/trailer-Light truck (mini-van, panel) 0.04929418
## Unknown heavy truck-Light truck (mini-van, panel) 1.53579790
## Van-Light truck (mini-van, panel) 6.64858690
## Moped-Military 44.96252680
## Motor home/recreational vehicle-Military 45.89409132
## Motor scooter or motor bike-Military 45.36368430
## Motorcycle-Military 45.20479127
## Other bus-Military 46.76130423
## Other*-Military 45.03141846
## Passenger car-Military 134.00570752
## Pedal cycle-Military 44.95736029
## Pedestrian-Military 45.23565576
## Pickup-Military 57.29948590
## Police-Military 45.08730045
## School bus-Military 55.60222128
## Single unit truck (2-axle, 6-tire)-Military 46.35126653
## Single unit truck (3 or more axles)-Military 45.22939739
## Sport utility-Military 79.62278839
## Taxicab-Military 45.24311470
## Tractor/doubles-Military 46.25102289
## Tractor/semi-trailer-Military 45.27909876
## Truck/tractor (i.e., bobtail)-Military 45.16211647
## Truck/trailer-Military 45.52826263
## Unknown heavy truck-Military 45.10284703
## Van-Military 52.43233289
## Motor home/recreational vehicle-Moped 8.09406844
## Motor scooter or motor bike-Moped 7.41896622
## Motorcycle-Moped 3.24510175
## Other bus-Moped 6.39218209
## Other*-Moped 4.37595245
## Passenger car-Moped 91.75847780
## Pedal cycle-Moped 3.46351324
## Pedestrian-Moped 3.16010838
## Pickup-Moped 15.05365291
## Police-Moped 3.60712304
## School bus-Moped 13.93331890
## Single unit truck (2-axle, 6-tire)-Moped 4.17173853
## Single unit truck (3 or more axles)-Moped 3.28438779
## Sport utility-Moped 37.37628723
## Taxicab-Moped 3.83811637
## Tractor/doubles-Moped 11.71627282
## Tractor/semi-trailer-Moped 3.30564220
## Truck/tractor (i.e., bobtail)-Moped 6.04590415
## Truck/trailer-Moped 3.45503032
## Unknown heavy truck-Moped 4.44738102
## Van-Moped 10.19112587
## Motor scooter or motor bike-Motor home/recreational vehicle 9.64322722
## Motorcycle-Motor home/recreational vehicle 7.30786079
## Other bus-Motor home/recreational vehicle 9.56331142
## Other*-Motor home/recreational vehicle 7.68915994
## Passenger car-Motor home/recreational vehicle 96.01127131
## Pedal cycle-Motor home/recreational vehicle 7.23812106
## Pedestrian-Motor home/recreational vehicle 7.29829353
## Pickup-Motor home/recreational vehicle 19.30550020
## Police-Motor home/recreational vehicle 7.37363189
## School bus-Motor home/recreational vehicle 17.81341676
## Single unit truck (2-axle, 6-tire)-Motor home/recreational vehicle 8.37892883
## Single unit truck (3 or more axles)-Motor home/recreational vehicle 7.33769881
## Sport utility-Motor home/recreational vehicle 41.62858714
## Taxicab-Motor home/recreational vehicle 7.56043739
## Tractor/doubles-Motor home/recreational vehicle 13.12918046
## Tractor/semi-trailer-Motor home/recreational vehicle 7.37728390
## Truck/tractor (i.e., bobtail)-Motor home/recreational vehicle 8.67611555
## Truck/trailer-Motor home/recreational vehicle 7.59169329
## Unknown heavy truck-Motor home/recreational vehicle 7.76058852
## Van-Motor home/recreational vehicle 14.43984088
## Motorcycle-Motor scooter or motor bike 7.62969052
## Other bus-Motor scooter or motor bike 9.90387729
## Other*-Motor scooter or motor bike 8.02615734
## Passenger car-Motor scooter or motor bike 96.33016757
## Pedal cycle-Motor scooter or motor bike 7.56507955
## Pedestrian-Motor scooter or motor bike 7.61891745
## Pickup-Motor scooter or motor bike 19.62441021
## Police-Motor scooter or motor bike 7.70074683
## School bus-Motor scooter or motor bike 18.13839971
## Single unit truck (2-axle, 6-tire)-Motor scooter or motor bike 8.69849762
## Single unit truck (3 or more axles)-Motor scooter or motor bike 7.65968349
## Sport utility-Motor scooter or motor bike 41.94749057
## Taxicab-Motor scooter or motor bike 7.88841803
## Tractor/doubles-Motor scooter or motor bike 13.53353292
## Tractor/semi-trailer-Motor scooter or motor bike 7.69896875
## Truck/tractor (i.e., bobtail)-Motor scooter or motor bike 9.03242329
## Truck/trailer-Motor scooter or motor bike 7.91234100
## Unknown heavy truck-Motor scooter or motor bike 8.09758591
## Van-Motor scooter or motor bike 14.75879649
## Other bus-Motorcycle 5.70967089
## Other*-Motorcycle 3.66131675
## Passenger car-Motorcycle 90.67803849
## Pedal cycle-Motorcycle 2.61497833
## Pedestrian-Motorcycle 2.14997649
## Pickup-Motorcycle 13.97385074
## Police-Motorcycle 2.76146591
## School bus-Motorcycle 13.04493873
## Single unit truck (2-axle, 6-tire)-Motorcycle 3.12085676
## Single unit truck (3 or more axles)-Motorcycle 2.31894755
## Sport utility-Motorcycle 36.29618041
## Taxicab-Motorcycle 3.00774839
## Tractor/doubles-Motorcycle 11.28056871
## Tractor/semi-trailer-Motorcycle 2.33099747
## Truck/tractor (i.e., bobtail)-Motorcycle 5.46204702
## Truck/trailer-Motorcycle 2.44574927
## Unknown heavy truck-Motorcycle 3.73274532
## Van-Motorcycle 9.11342524
## Other*-Other bus 3.68178962
## Passenger car-Other bus 91.50850204
## Pedal cycle-Other bus 2.97002462
## Pedestrian-Other bus 2.84811544
## Pickup-Other bus 14.80315518
## Police-Other bus 3.10984026
## School bus-Other bus 13.49020767
## Single unit truck (2-axle, 6-tire)-Other bus 3.89679612
## Single unit truck (3 or more axles)-Other bus 2.92800034
## Sport utility-Other bus 37.12603916
## Taxicab-Other bus 3.32031360
## Tractor/doubles-Other bus 10.43007929
## Tractor/semi-trailer-Other bus 2.95873465
## Truck/tractor (i.e., bobtail)-Other bus 5.10364677
## Truck/trailer-Other bus 3.14222984
## Unknown heavy truck-Other bus 3.75321819
## Van-Other bus 9.93890145
## Passenger car-Other* 92.83626650
## Pedal cycle-Other* 4.34622500
## Pedestrian-Other* 4.18748534
## Pickup-Other* 16.13101519
## Police-Other* 4.48685500
## School bus-Other* 14.85576490
## Single unit truck (2-axle, 6-tire)-Other* 5.22917152
## Single unit truck (3 or more axles)-Other* 4.27598823
## Sport utility-Other* 38.45385346
## Taxicab-Other* 4.70176338
## Tractor/doubles-Other* 12.00889821
## Tractor/semi-trailer-Other* 4.30486070
## Truck/tractor (i.e., bobtail)-Other* 6.58751723
## Truck/trailer-Other* 4.48175420
## Unknown heavy truck-Other* 5.17485217
## Van-Other* 11.26707781
## Pedal cycle-Passenger car -86.51957138
## Pedestrian-Passenger car -87.12806829
## Pickup-Passenger car -75.38874036
## Police-Passenger car -86.37094641
## School bus-Passenger car -76.12040283
## Single unit truck (2-axle, 6-tire)-Passenger car -86.20415718
## Single unit truck (3 or more axles)-Passenger car -86.91373291
## Sport utility-Passenger car -53.06682893
## Taxicab-Passenger car -86.11348661
## Tractor/doubles-Passenger car -77.61364195
## Tractor/semi-trailer-Passenger car -86.91058213
## Truck/tractor (i.e., bobtail)-Passenger car -83.50800307
## Truck/trailer-Passenger car -86.83137734
## Unknown heavy truck-Passenger car -85.31191471
## Van-Passenger car -80.24629437
## Pedestrian-Pedal cycle 3.09392027
## Pickup-Pedal cycle 14.98275716
## Police-Pedal cycle 3.55351758
## School bus-Pedal cycle 13.87625328
## Single unit truck (2-axle, 6-tire)-Pedal cycle 4.10275076
## Single unit truck (3 or more axles)-Pedal cycle 3.22141808
## Sport utility-Pedal cycle 37.30537172
## Taxicab-Pedal cycle 3.78578040
## Tractor/doubles-Pedal cycle 11.70130066
## Tractor/semi-trailer-Pedal cycle 3.24199711
## Truck/tractor (i.e., bobtail)-Pedal cycle 6.01604037
## Truck/trailer-Pedal cycle 3.38890204
## Unknown heavy truck-Pedal cycle 4.40515592
## Van-Pedal cycle 10.12036654
## Pickup-Pedestrian 13.73054345
## Police-Pedestrian 2.59663678
## School bus-Pedestrian 12.86785752
## Single unit truck (2-axle, 6-tire)-Pedestrian 2.88909699
## Single unit truck (3 or more axles)-Pedestrian 2.11778025
## Sport utility-Pedestrian 36.05274771
## Taxicab-Pedestrian 2.84714215
## Tractor/doubles-Pedestrian 11.21086354
## Tractor/semi-trailer-Pedestrian 2.12675302
## Truck/tractor (i.e., bobtail)-Pedestrian 5.36113747
## Truck/trailer-Pedestrian 2.22947939
## Unknown heavy truck-Pedestrian 3.60184125
## Van-Pedestrian 8.87098080
## Police-Pickup -9.66312224
## School bus-Pickup 0.58760351
## Single unit truck (2-axle, 6-tire)-Pickup -9.49513824
## Single unit truck (3 or more axles)-Pickup -10.20532940
## Sport utility-Pickup 23.64247444
## Taxicab-Pickup -9.40572275
## Tractor/doubles-Pickup -0.90699222
## Tractor/semi-trailer-Pickup -10.20212324
## Truck/tractor (i.e., bobtail)-Pickup -6.80099828
## Truck/trailer-Pickup -10.12268944
## Unknown heavy truck-Pickup -8.60454664
## Van-Pickup -3.53701648
## School bus-Police 13.76341040
## Single unit truck (2-axle, 6-tire)-Police 3.99324153
## Single unit truck (3 or more axles)-Police 3.11022244
## Sport utility-Police 37.19640438
## Taxicab-Police 3.67162267
## Tractor/doubles-Police 11.57686199
## Tractor/semi-trailer-Police 3.13099035
## Truck/tractor (i.e., bobtail)-Police 5.89568151
## Truck/trailer-Police 3.27859054
## Unknown heavy truck-Police 4.28819967
## Van-Police 10.01135526
## Single unit truck (2-axle, 6-tire)-School bus -6.80824729
## Single unit truck (3 or more axles)-School bus -7.66542248
## Sport utility-School bus 26.38645759
## Taxicab-School bus -7.06012825
## Tractor/doubles-School bus 0.98808862
## Tractor/semi-trailer-School bus -7.64751523
## Truck/tractor (i.e., bobtail)-School bus -4.74861113
## Truck/trailer-School bus -7.51051701
## Unknown heavy truck-School bus -6.40347585
## Van-School bus -0.79790284
## Single unit truck (3 or more axles)-Single unit truck (2-axle, 6-tire) 0.84534600
## Sport utility-Single unit truck (2-axle, 6-tire) 34.73183069
## Taxicab-Single unit truck (2-axle, 6-tire) 1.61586471
## Tractor/doubles-Single unit truck (2-axle, 6-tire) 10.06183101
## Tractor/semi-trailer-Single unit truck (2-axle, 6-tire) 0.85101324
## Truck/tractor (i.e., bobtail)-Single unit truck (2-axle, 6-tire) 4.18483484
## Truck/trailer-Single unit truck (2-axle, 6-tire) 0.94051855
## Unknown heavy truck-Single unit truck (2-axle, 6-tire) 2.39852962
## Van-Single unit truck (2-axle, 6-tire) 7.55128526
## Sport utility-Single unit truck (3 or more axles) 36.29757172
## Taxicab-Single unit truck (3 or more axles) 2.99964557
## Tractor/doubles-Single unit truck (3 or more axles) 11.26100467
## Tractor/semi-trailer-Single unit truck (3 or more axles) 2.32804366
## Truck/tractor (i.e., bobtail)-Single unit truck (3 or more axles) 5.44649617
## Truck/trailer-Single unit truck (3 or more axles) 2.44415907
## Unknown heavy truck-Single unit truck (3 or more axles) 3.72098441
## Van-Single unit truck (3 or more axles) 9.11471057
## Taxicab-Sport utility -31.72976304
## Tractor/doubles-Sport utility -23.23049954
## Tractor/semi-trailer-Sport utility -32.52649586
## Truck/tractor (i.e., bobtail)-Sport utility -29.12467547
## Truck/trailer-Sport utility -32.44717152
## Unknown heavy truck-Sport utility -30.92839762
## Van-Sport utility -25.86178044
## Tractor/doubles-Taxicab 11.45172992
## Tractor/semi-trailer-Taxicab 3.07893376
## Truck/tractor (i.e., bobtail)-Taxicab 5.79314199
## Truck/trailer-Taxicab 3.23018513
## Unknown heavy truck-Taxicab 4.20428513
## Van-Taxicab 9.96973256
## Tractor/semi-trailer-Tractor/doubles 12.13921324
## Truck/tractor (i.e., bobtail)-Tractor/doubles 12.87775261
## Truck/trailer-Tractor/doubles 12.36878149
## Unknown heavy truck-Tractor/doubles 12.28811899
## Van-Tractor/doubles 19.24147293
## Truck/tractor (i.e., bobtail)-Tractor/semi-trailer 5.37928400
## Truck/trailer-Tractor/semi-trailer 2.34976771
## Unknown heavy truck-Tractor/semi-trailer 3.64642562
## Van-Tractor/semi-trailer 9.01466774
## Truck/trailer-Truck/tractor (i.e., bobtail) 6.45717062
## Unknown heavy truck-Truck/tractor (i.e., bobtail) 6.80423801
## Van-Truck/tractor (i.e., bobtail) 13.28614379
## Unknown heavy truck-Truck/trailer 3.31120973
## Van-Truck/trailer 8.58274524
## Van-Unknown heavy truck 11.19564924
## p adj
## All terrain vehicle (ATV)-Activity bus 0.9999997
## Commercial bus-Activity bus 1.0000000
## EMS Vehicle, Ambulance, Rescue Squad-Activity bus 0.9893302
## Farm equipment-Activity bus 1.0000000
## Farm tractor-Activity bus 1.0000000
## Firetruck-Activity bus 0.9999759
## Light truck (mini-van, panel)-Activity bus 0.9999986
## Military-Activity bus 1.0000000
## Moped-Activity bus 0.2446443
## Motor home/recreational vehicle-Activity bus 0.9999761
## Motor scooter or motor bike-Activity bus 0.9991306
## Motorcycle-Activity bus 0.1573515
## Other bus-Activity bus 0.9999987
## Other*-Activity bus 0.6722998
## Passenger car-Activity bus 0.0000000
## Pedal cycle-Activity bus 0.2198294
## Pedestrian-Activity bus 0.1287090
## Pickup-Activity bus 0.0000000
## Police-Activity bus 0.3059685
## School bus-Activity bus 0.0000000
## Single unit truck (2-axle, 6-tire)-Activity bus 0.9364940
## Single unit truck (3 or more axles)-Activity bus 0.1758952
## Sport utility-Activity bus 0.0000000
## Taxicab-Activity bus 0.4618328
## Tractor/doubles-Activity bus 0.9999999
## Tractor/semi-trailer-Activity bus 0.1910955
## Truck/tractor (i.e., bobtail)-Activity bus 0.9819116
## Truck/trailer-Activity bus 0.3112287
## Unknown heavy truck-Activity bus 0.7177561
## Van-Activity bus 0.0000641
## Commercial bus-All terrain vehicle (ATV) 1.0000000
## EMS Vehicle, Ambulance, Rescue Squad-All terrain vehicle (ATV) 1.0000000
## Farm equipment-All terrain vehicle (ATV) 1.0000000
## Farm tractor-All terrain vehicle (ATV) 1.0000000
## Firetruck-All terrain vehicle (ATV) 1.0000000
## Light truck (mini-van, panel)-All terrain vehicle (ATV) 1.0000000
## Military-All terrain vehicle (ATV) 1.0000000
## Moped-All terrain vehicle (ATV) 1.0000000
## Motor home/recreational vehicle-All terrain vehicle (ATV) 1.0000000
## Motor scooter or motor bike-All terrain vehicle (ATV) 1.0000000
## Motorcycle-All terrain vehicle (ATV) 1.0000000
## Other bus-All terrain vehicle (ATV) 1.0000000
## Other*-All terrain vehicle (ATV) 1.0000000
## Passenger car-All terrain vehicle (ATV) 0.0000000
## Pedal cycle-All terrain vehicle (ATV) 1.0000000
## Pedestrian-All terrain vehicle (ATV) 1.0000000
## Pickup-All terrain vehicle (ATV) 0.0041437
## Police-All terrain vehicle (ATV) 1.0000000
## School bus-All terrain vehicle (ATV) 0.0569406
## Single unit truck (2-axle, 6-tire)-All terrain vehicle (ATV) 1.0000000
## Single unit truck (3 or more axles)-All terrain vehicle (ATV) 1.0000000
## Sport utility-All terrain vehicle (ATV) 0.0000000
## Taxicab-All terrain vehicle (ATV) 1.0000000
## Tractor/doubles-All terrain vehicle (ATV) 1.0000000
## Tractor/semi-trailer-All terrain vehicle (ATV) 1.0000000
## Truck/tractor (i.e., bobtail)-All terrain vehicle (ATV) 1.0000000
## Truck/trailer-All terrain vehicle (ATV) 1.0000000
## Unknown heavy truck-All terrain vehicle (ATV) 1.0000000
## Van-All terrain vehicle (ATV) 0.6653937
## EMS Vehicle, Ambulance, Rescue Squad-Commercial bus 0.9951636
## Farm equipment-Commercial bus 1.0000000
## Farm tractor-Commercial bus 1.0000000
## Firetruck-Commercial bus 0.9999985
## Light truck (mini-van, panel)-Commercial bus 1.0000000
## Military-Commercial bus 1.0000000
## Moped-Commercial bus 0.1409043
## Motor home/recreational vehicle-Commercial bus 0.9999975
## Motor scooter or motor bike-Commercial bus 0.9998020
## Motorcycle-Commercial bus 0.0348175
## Other bus-Commercial bus 1.0000000
## Other*-Commercial bus 0.6805337
## Passenger car-Commercial bus 0.0000000
## Pedal cycle-Commercial bus 0.1159248
## Pedestrian-Commercial bus 0.0182234
## Pickup-Commercial bus 0.0000000
## Police-Commercial bus 0.1882697
## School bus-Commercial bus 0.0000000
## Single unit truck (2-axle, 6-tire)-Commercial bus 0.8500472
## Single unit truck (3 or more axles)-Commercial bus 0.0433984
## Sport utility-Commercial bus 0.0000000
## Taxicab-Commercial bus 0.3541186
## Tractor/doubles-Commercial bus 1.0000000
## Tractor/semi-trailer-Commercial bus 0.0470846
## Truck/tractor (i.e., bobtail)-Commercial bus 0.9922887
## Truck/trailer-Commercial bus 0.0917906
## Unknown heavy truck-Commercial bus 0.7311100
## Van-Commercial bus 0.0000000
## Farm equipment-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Farm tractor-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Firetruck-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Light truck (mini-van, panel)-EMS Vehicle, Ambulance, Rescue Squad 0.9999753
## Military-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Moped-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Motor home/recreational vehicle-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Motor scooter or motor bike-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Motorcycle-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Other bus-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Other*-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Passenger car-EMS Vehicle, Ambulance, Rescue Squad 0.0000000
## Pedal cycle-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Pedestrian-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Pickup-EMS Vehicle, Ambulance, Rescue Squad 0.0000000
## Police-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## School bus-EMS Vehicle, Ambulance, Rescue Squad 0.0000000
## Single unit truck (2-axle, 6-tire)-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Single unit truck (3 or more axles)-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Sport utility-EMS Vehicle, Ambulance, Rescue Squad 0.0000000
## Taxicab-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Tractor/doubles-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Tractor/semi-trailer-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Truck/tractor (i.e., bobtail)-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Truck/trailer-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Unknown heavy truck-EMS Vehicle, Ambulance, Rescue Squad 1.0000000
## Van-EMS Vehicle, Ambulance, Rescue Squad 0.0000000
## Farm tractor-Farm equipment 1.0000000
## Firetruck-Farm equipment 1.0000000
## Light truck (mini-van, panel)-Farm equipment 1.0000000
## Military-Farm equipment 1.0000000
## Moped-Farm equipment 1.0000000
## Motor home/recreational vehicle-Farm equipment 1.0000000
## Motor scooter or motor bike-Farm equipment 1.0000000
## Motorcycle-Farm equipment 1.0000000
## Other bus-Farm equipment 1.0000000
## Other*-Farm equipment 1.0000000
## Passenger car-Farm equipment 0.0000000
## Pedal cycle-Farm equipment 1.0000000
## Pedestrian-Farm equipment 1.0000000
## Pickup-Farm equipment 0.1236705
## Police-Farm equipment 1.0000000
## School bus-Farm equipment 0.4251392
## Single unit truck (2-axle, 6-tire)-Farm equipment 1.0000000
## Single unit truck (3 or more axles)-Farm equipment 1.0000000
## Sport utility-Farm equipment 0.0000000
## Taxicab-Farm equipment 1.0000000
## Tractor/doubles-Farm equipment 1.0000000
## Tractor/semi-trailer-Farm equipment 1.0000000
## Truck/tractor (i.e., bobtail)-Farm equipment 1.0000000
## Truck/trailer-Farm equipment 1.0000000
## Unknown heavy truck-Farm equipment 1.0000000
## Van-Farm equipment 0.9605904
## Firetruck-Farm tractor 1.0000000
## Light truck (mini-van, panel)-Farm tractor 1.0000000
## Military-Farm tractor 1.0000000
## Moped-Farm tractor 1.0000000
## Motor home/recreational vehicle-Farm tractor 1.0000000
## Motor scooter or motor bike-Farm tractor 1.0000000
## Motorcycle-Farm tractor 1.0000000
## Other bus-Farm tractor 1.0000000
## Other*-Farm tractor 1.0000000
## Passenger car-Farm tractor 0.0000000
## Pedal cycle-Farm tractor 1.0000000
## Pedestrian-Farm tractor 1.0000000
## Pickup-Farm tractor 0.1236705
## Police-Farm tractor 1.0000000
## School bus-Farm tractor 0.4251392
## Single unit truck (2-axle, 6-tire)-Farm tractor 1.0000000
## Single unit truck (3 or more axles)-Farm tractor 1.0000000
## Sport utility-Farm tractor 0.0000000
## Taxicab-Farm tractor 1.0000000
## Tractor/doubles-Farm tractor 1.0000000
## Tractor/semi-trailer-Farm tractor 1.0000000
## Truck/tractor (i.e., bobtail)-Farm tractor 1.0000000
## Truck/trailer-Farm tractor 1.0000000
## Unknown heavy truck-Farm tractor 1.0000000
## Van-Farm tractor 0.9605904
## Light truck (mini-van, panel)-Firetruck 1.0000000
## Military-Firetruck 1.0000000
## Moped-Firetruck 1.0000000
## Motor home/recreational vehicle-Firetruck 1.0000000
## Motor scooter or motor bike-Firetruck 1.0000000
## Motorcycle-Firetruck 1.0000000
## Other bus-Firetruck 1.0000000
## Other*-Firetruck 1.0000000
## Passenger car-Firetruck 0.0000000
## Pedal cycle-Firetruck 1.0000000
## Pedestrian-Firetruck 1.0000000
## Pickup-Firetruck 0.0000000
## Police-Firetruck 1.0000000
## School bus-Firetruck 0.0000000
## Single unit truck (2-axle, 6-tire)-Firetruck 1.0000000
## Single unit truck (3 or more axles)-Firetruck 1.0000000
## Sport utility-Firetruck 0.0000000
## Taxicab-Firetruck 1.0000000
## Tractor/doubles-Firetruck 1.0000000
## Tractor/semi-trailer-Firetruck 1.0000000
## Truck/tractor (i.e., bobtail)-Firetruck 1.0000000
## Truck/trailer-Firetruck 1.0000000
## Unknown heavy truck-Firetruck 1.0000000
## Van-Firetruck 0.0005236
## Military-Light truck (mini-van, panel) 1.0000000
## Moped-Light truck (mini-van, panel) 0.2655457
## Motor home/recreational vehicle-Light truck (mini-van, panel) 1.0000000
## Motor scooter or motor bike-Light truck (mini-van, panel) 0.9999972
## Motorcycle-Light truck (mini-van, panel) 0.0270446
## Other bus-Light truck (mini-van, panel) 1.0000000
## Other*-Light truck (mini-van, panel) 0.9060480
## Passenger car-Light truck (mini-van, panel) 0.0000000
## Pedal cycle-Light truck (mini-van, panel) 0.2145297
## Pedestrian-Light truck (mini-van, panel) 0.0062528
## Pickup-Light truck (mini-van, panel) 0.0000000
## Police-Light truck (mini-van, panel) 0.3467282
## School bus-Light truck (mini-van, panel) 0.0000000
## Single unit truck (2-axle, 6-tire)-Light truck (mini-van, panel) 0.9711993
## Single unit truck (3 or more axles)-Light truck (mini-van, panel) 0.0381449
## Sport utility-Light truck (mini-van, panel) 0.0000000
## Taxicab-Light truck (mini-van, panel) 0.6072649
## Tractor/doubles-Light truck (mini-van, panel) 1.0000000
## Tractor/semi-trailer-Light truck (mini-van, panel) 0.0391075
## Truck/tractor (i.e., bobtail)-Light truck (mini-van, panel) 0.9996874
## Truck/trailer-Light truck (mini-van, panel) 0.0715984
## Unknown heavy truck-Light truck (mini-van, panel) 0.9329611
## Van-Light truck (mini-van, panel) 0.0000000
## Moped-Military 1.0000000
## Motor home/recreational vehicle-Military 1.0000000
## Motor scooter or motor bike-Military 1.0000000
## Motorcycle-Military 1.0000000
## Other bus-Military 1.0000000
## Other*-Military 1.0000000
## Passenger car-Military 0.0000000
## Pedal cycle-Military 1.0000000
## Pedestrian-Military 1.0000000
## Pickup-Military 0.9999999
## Police-Military 1.0000000
## School bus-Military 1.0000000
## Single unit truck (2-axle, 6-tire)-Military 1.0000000
## Single unit truck (3 or more axles)-Military 1.0000000
## Sport utility-Military 0.4560300
## Taxicab-Military 1.0000000
## Tractor/doubles-Military 1.0000000
## Tractor/semi-trailer-Military 1.0000000
## Truck/tractor (i.e., bobtail)-Military 1.0000000
## Truck/trailer-Military 1.0000000
## Unknown heavy truck-Military 1.0000000
## Van-Military 1.0000000
## Motor home/recreational vehicle-Moped 1.0000000
## Motor scooter or motor bike-Moped 1.0000000
## Motorcycle-Moped 1.0000000
## Other bus-Moped 0.9999826
## Other*-Moped 1.0000000
## Passenger car-Moped 0.0000000
## Pedal cycle-Moped 1.0000000
## Pedestrian-Moped 1.0000000
## Pickup-Moped 0.0000000
## Police-Moped 1.0000000
## School bus-Moped 0.0000000
## Single unit truck (2-axle, 6-tire)-Moped 0.9828880
## Single unit truck (3 or more axles)-Moped 1.0000000
## Sport utility-Moped 0.0000000
## Taxicab-Moped 1.0000000
## Tractor/doubles-Moped 1.0000000
## Tractor/semi-trailer-Moped 1.0000000
## Truck/tractor (i.e., bobtail)-Moped 1.0000000
## Truck/trailer-Moped 1.0000000
## Unknown heavy truck-Moped 1.0000000
## Van-Moped 0.0000000
## Motor scooter or motor bike-Motor home/recreational vehicle 1.0000000
## Motorcycle-Motor home/recreational vehicle 1.0000000
## Other bus-Motor home/recreational vehicle 1.0000000
## Other*-Motor home/recreational vehicle 1.0000000
## Passenger car-Motor home/recreational vehicle 0.0000000
## Pedal cycle-Motor home/recreational vehicle 1.0000000
## Pedestrian-Motor home/recreational vehicle 1.0000000
## Pickup-Motor home/recreational vehicle 0.0000003
## Police-Motor home/recreational vehicle 1.0000000
## School bus-Motor home/recreational vehicle 0.0001548
## Single unit truck (2-axle, 6-tire)-Motor home/recreational vehicle 1.0000000
## Single unit truck (3 or more axles)-Motor home/recreational vehicle 1.0000000
## Sport utility-Motor home/recreational vehicle 0.0000000
## Taxicab-Motor home/recreational vehicle 1.0000000
## Tractor/doubles-Motor home/recreational vehicle 1.0000000
## Tractor/semi-trailer-Motor home/recreational vehicle 1.0000000
## Truck/tractor (i.e., bobtail)-Motor home/recreational vehicle 1.0000000
## Truck/trailer-Motor home/recreational vehicle 1.0000000
## Unknown heavy truck-Motor home/recreational vehicle 1.0000000
## Van-Motor home/recreational vehicle 0.0718734
## Motorcycle-Motor scooter or motor bike 1.0000000
## Other bus-Motor scooter or motor bike 1.0000000
## Other*-Motor scooter or motor bike 1.0000000
## Passenger car-Motor scooter or motor bike 0.0000000
## Pedal cycle-Motor scooter or motor bike 1.0000000
## Pedestrian-Motor scooter or motor bike 1.0000000
## Pickup-Motor scooter or motor bike 0.0000000
## Police-Motor scooter or motor bike 1.0000000
## School bus-Motor scooter or motor bike 0.0000204
## Single unit truck (2-axle, 6-tire)-Motor scooter or motor bike 1.0000000
## Single unit truck (3 or more axles)-Motor scooter or motor bike 1.0000000
## Sport utility-Motor scooter or motor bike 0.0000000
## Taxicab-Motor scooter or motor bike 1.0000000
## Tractor/doubles-Motor scooter or motor bike 1.0000000
## Tractor/semi-trailer-Motor scooter or motor bike 1.0000000
## Truck/tractor (i.e., bobtail)-Motor scooter or motor bike 1.0000000
## Truck/trailer-Motor scooter or motor bike 1.0000000
## Unknown heavy truck-Motor scooter or motor bike 1.0000000
## Van-Motor scooter or motor bike 0.0204110
## Other bus-Motorcycle 0.9999978
## Other*-Motorcycle 1.0000000
## Passenger car-Motorcycle 0.0000000
## Pedal cycle-Motorcycle 1.0000000
## Pedestrian-Motorcycle 1.0000000
## Pickup-Motorcycle 0.0000000
## Police-Motorcycle 1.0000000
## School bus-Motorcycle 0.0000000
## Single unit truck (2-axle, 6-tire)-Motorcycle 0.9306021
## Single unit truck (3 or more axles)-Motorcycle 1.0000000
## Sport utility-Motorcycle 0.0000000
## Taxicab-Motorcycle 1.0000000
## Tractor/doubles-Motorcycle 1.0000000
## Tractor/semi-trailer-Motorcycle 1.0000000
## Truck/tractor (i.e., bobtail)-Motorcycle 1.0000000
## Truck/trailer-Motorcycle 1.0000000
## Unknown heavy truck-Motorcycle 1.0000000
## Van-Motorcycle 0.0000000
## Other*-Other bus 0.9999990
## Passenger car-Other bus 0.0000000
## Pedal cycle-Other bus 0.9999789
## Pedestrian-Other bus 0.9999982
## Pickup-Other bus 0.0000000
## Police-Other bus 0.9999964
## School bus-Other bus 0.0000000
## Single unit truck (2-axle, 6-tire)-Other bus 1.0000000
## Single unit truck (3 or more axles)-Other bus 0.9999986
## Sport utility-Other bus 0.0000000
## Taxicab-Other bus 0.9999997
## Tractor/doubles-Other bus 1.0000000
## Tractor/semi-trailer-Other bus 0.9999993
## Truck/tractor (i.e., bobtail)-Other bus 1.0000000
## Truck/trailer-Other bus 1.0000000
## Unknown heavy truck-Other bus 0.9999997
## Van-Other bus 0.0000375
## Passenger car-Other* 0.0000000
## Pedal cycle-Other* 1.0000000
## Pedestrian-Other* 1.0000000
## Pickup-Other* 0.0000000
## Police-Other* 1.0000000
## School bus-Other* 0.0000000
## Single unit truck (2-axle, 6-tire)-Other* 0.9999314
## Single unit truck (3 or more axles)-Other* 1.0000000
## Sport utility-Other* 0.0000000
## Taxicab-Other* 1.0000000
## Tractor/doubles-Other* 1.0000000
## Tractor/semi-trailer-Other* 1.0000000
## Truck/tractor (i.e., bobtail)-Other* 1.0000000
## Truck/trailer-Other* 1.0000000
## Unknown heavy truck-Other* 1.0000000
## Van-Other* 0.0000000
## Pedal cycle-Passenger car 0.0000000
## Pedestrian-Passenger car 0.0000000
## Pickup-Passenger car 0.0000000
## Police-Passenger car 0.0000000
## School bus-Passenger car 0.0000000
## Single unit truck (2-axle, 6-tire)-Passenger car 0.0000000
## Single unit truck (3 or more axles)-Passenger car 0.0000000
## Sport utility-Passenger car 0.0000000
## Taxicab-Passenger car 0.0000000
## Tractor/doubles-Passenger car 0.0000000
## Tractor/semi-trailer-Passenger car 0.0000000
## Truck/tractor (i.e., bobtail)-Passenger car 0.0000000
## Truck/trailer-Passenger car 0.0000000
## Unknown heavy truck-Passenger car 0.0000000
## Van-Passenger car 0.0000000
## Pedestrian-Pedal cycle 1.0000000
## Pickup-Pedal cycle 0.0000000
## Police-Pedal cycle 1.0000000
## School bus-Pedal cycle 0.0000000
## Single unit truck (2-axle, 6-tire)-Pedal cycle 0.9755266
## Single unit truck (3 or more axles)-Pedal cycle 1.0000000
## Sport utility-Pedal cycle 0.0000000
## Taxicab-Pedal cycle 1.0000000
## Tractor/doubles-Pedal cycle 1.0000000
## Tractor/semi-trailer-Pedal cycle 1.0000000
## Truck/tractor (i.e., bobtail)-Pedal cycle 1.0000000
## Truck/trailer-Pedal cycle 1.0000000
## Unknown heavy truck-Pedal cycle 1.0000000
## Van-Pedal cycle 0.0000000
## Pickup-Pedestrian 0.0000000
## Police-Pedestrian 1.0000000
## School bus-Pedestrian 0.0000000
## Single unit truck (2-axle, 6-tire)-Pedestrian 0.8599939
## Single unit truck (3 or more axles)-Pedestrian 1.0000000
## Sport utility-Pedestrian 0.0000000
## Taxicab-Pedestrian 1.0000000
## Tractor/doubles-Pedestrian 1.0000000
## Tractor/semi-trailer-Pedestrian 1.0000000
## Truck/tractor (i.e., bobtail)-Pedestrian 1.0000000
## Truck/trailer-Pedestrian 1.0000000
## Unknown heavy truck-Pedestrian 1.0000000
## Van-Pedestrian 0.0000000
## Police-Pickup 0.0000000
## School bus-Pickup 0.5503682
## Single unit truck (2-axle, 6-tire)-Pickup 0.0000000
## Single unit truck (3 or more axles)-Pickup 0.0000000
## Sport utility-Pickup 0.0000000
## Taxicab-Pickup 0.0000000
## Tractor/doubles-Pickup 0.0171059
## Tractor/semi-trailer-Pickup 0.0000000
## Truck/tractor (i.e., bobtail)-Pickup 0.0000000
## Truck/trailer-Pickup 0.0000000
## Unknown heavy truck-Pickup 0.0000000
## Van-Pickup 0.0000000
## School bus-Police 0.0000000
## Single unit truck (2-axle, 6-tire)-Police 0.9941905
## Single unit truck (3 or more axles)-Police 1.0000000
## Sport utility-Police 0.0000000
## Taxicab-Police 1.0000000
## Tractor/doubles-Police 1.0000000
## Tractor/semi-trailer-Police 1.0000000
## Truck/tractor (i.e., bobtail)-Police 1.0000000
## Truck/trailer-Police 1.0000000
## Unknown heavy truck-Police 1.0000000
## Van-Police 0.0000000
## Single unit truck (2-axle, 6-tire)-School bus 0.0000000
## Single unit truck (3 or more axles)-School bus 0.0000000
## Sport utility-School bus 0.0000000
## Taxicab-School bus 0.0000000
## Tractor/doubles-School bus 0.1351167
## Tractor/semi-trailer-School bus 0.0000000
## Truck/tractor (i.e., bobtail)-School bus 0.0000000
## Truck/trailer-School bus 0.0000000
## Unknown heavy truck-School bus 0.0000000
## Van-School bus 0.0001907
## Single unit truck (3 or more axles)-Single unit truck (2-axle, 6-tire) 0.9520585
## Sport utility-Single unit truck (2-axle, 6-tire) 0.0000000
## Taxicab-Single unit truck (2-axle, 6-tire) 0.9996196
## Tractor/doubles-Single unit truck (2-axle, 6-tire) 1.0000000
## Tractor/semi-trailer-Single unit truck (2-axle, 6-tire) 0.9636876
## Truck/tractor (i.e., bobtail)-Single unit truck (2-axle, 6-tire) 1.0000000
## Truck/trailer-Single unit truck (2-axle, 6-tire) 0.9972744
## Unknown heavy truck-Single unit truck (2-axle, 6-tire) 0.9999759
## Van-Single unit truck (2-axle, 6-tire) 0.0000000
## Sport utility-Single unit truck (3 or more axles) 0.0000000
## Taxicab-Single unit truck (3 or more axles) 1.0000000
## Tractor/doubles-Single unit truck (3 or more axles) 1.0000000
## Tractor/semi-trailer-Single unit truck (3 or more axles) 1.0000000
## Truck/tractor (i.e., bobtail)-Single unit truck (3 or more axles) 1.0000000
## Truck/trailer-Single unit truck (3 or more axles) 1.0000000
## Unknown heavy truck-Single unit truck (3 or more axles) 1.0000000
## Van-Single unit truck (3 or more axles) 0.0000000
## Taxicab-Sport utility 0.0000000
## Tractor/doubles-Sport utility 0.0000000
## Tractor/semi-trailer-Sport utility 0.0000000
## Truck/tractor (i.e., bobtail)-Sport utility 0.0000000
## Truck/trailer-Sport utility 0.0000000
## Unknown heavy truck-Sport utility 0.0000000
## Van-Sport utility 0.0000000
## Tractor/doubles-Taxicab 1.0000000
## Tractor/semi-trailer-Taxicab 1.0000000
## Truck/tractor (i.e., bobtail)-Taxicab 1.0000000
## Truck/trailer-Taxicab 1.0000000
## Unknown heavy truck-Taxicab 1.0000000
## Van-Taxicab 0.0000000
## Tractor/semi-trailer-Tractor/doubles 1.0000000
## Truck/tractor (i.e., bobtail)-Tractor/doubles 1.0000000
## Truck/trailer-Tractor/doubles 1.0000000
## Unknown heavy truck-Tractor/doubles 1.0000000
## Van-Tractor/doubles 0.8085333
## Truck/tractor (i.e., bobtail)-Tractor/semi-trailer 1.0000000
## Truck/trailer-Tractor/semi-trailer 1.0000000
## Unknown heavy truck-Tractor/semi-trailer 1.0000000
## Van-Tractor/semi-trailer 0.0000000
## Truck/trailer-Truck/tractor (i.e., bobtail) 1.0000000
## Unknown heavy truck-Truck/tractor (i.e., bobtail) 1.0000000
## Van-Truck/tractor (i.e., bobtail) 0.0001985
## Unknown heavy truck-Truck/trailer 1.0000000
## Van-Truck/trailer 0.0000000
## Van-Unknown heavy truck 0.0000000Is there a significant difference between the amount of crashes per each Weather Condition?
crashes_weather= crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(WeatherCondition1 != "Unknown", WeatherCondition1 != "NA") %>%
group_by(Date, WeatherCondition1) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_weather = aov(count ~ WeatherCondition1, data = crashes_weather)
summary(anova_weather)## Df Sum Sq Mean Sq F value Pr(>F)
## WeatherCondition1 8 14170569 1771321 793.4 <2e-16 ***
## Residuals 5503 12286562 2233
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_weather)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ WeatherCondition1, data = crashes_weather)
##
## $WeatherCondition1
## diff
## Clear-Blowing sand, dirt, snow 125.26532649
## Cloudy-Blowing sand, dirt, snow 22.59682357
## Fog, smog, smoke-Blowing sand, dirt, snow 2.91333333
## Other*-Blowing sand, dirt, snow -1.06164384
## Rain-Blowing sand, dirt, snow 34.33333333
## Severe crosswinds-Blowing sand, dirt, snow -1.04166667
## Sleet, hail, freezing rain/drizzle-Blowing sand, dirt, snow 9.88251366
## Snow-Blowing sand, dirt, snow 17.44736842
## Cloudy-Clear -102.66850292
## Fog, smog, smoke-Clear -122.35199316
## Other*-Clear -126.32697033
## Rain-Clear -90.93199316
## Severe crosswinds-Clear -126.30699316
## Sleet, hail, freezing rain/drizzle-Clear -115.38281283
## Snow-Clear -107.81795807
## Fog, smog, smoke-Cloudy -19.68349024
## Other*-Cloudy -23.65846741
## Rain-Cloudy 11.73650976
## Severe crosswinds-Cloudy -23.63849024
## Sleet, hail, freezing rain/drizzle-Cloudy -12.71430991
## Snow-Cloudy -5.14945515
## Other*-Fog, smog, smoke -3.97497717
## Rain-Fog, smog, smoke 31.42000000
## Severe crosswinds-Fog, smog, smoke -3.95500000
## Sleet, hail, freezing rain/drizzle-Fog, smog, smoke 6.96918033
## Snow-Fog, smog, smoke 14.53403509
## Rain-Other* 35.39497717
## Severe crosswinds-Other* 0.01997717
## Sleet, hail, freezing rain/drizzle-Other* 10.94415750
## Snow-Other* 18.50901226
## Severe crosswinds-Rain -35.37500000
## Sleet, hail, freezing rain/drizzle-Rain -24.45081967
## Snow-Rain -16.88596491
## Sleet, hail, freezing rain/drizzle-Severe crosswinds 10.92418033
## Snow-Severe crosswinds 18.48903509
## Snow-Sleet, hail, freezing rain/drizzle 7.56485476
## lwr
## Clear-Blowing sand, dirt, snow 65.331171
## Cloudy-Blowing sand, dirt, snow -37.363571
## Fog, smog, smoke-Blowing sand, dirt, snow -59.292301
## Other*-Blowing sand, dirt, snow -61.733467
## Rain-Blowing sand, dirt, snow -25.702302
## Severe crosswinds-Blowing sand, dirt, snow -80.225563
## Sleet, hail, freezing rain/drizzle-Blowing sand, dirt, snow -52.849659
## Snow-Blowing sand, dirt, snow -45.481611
## Cloudy-Clear -107.309136
## Fog, smog, smoke-Clear -139.551629
## Other*-Clear -136.688277
## Rain-Clear -96.460468
## Severe crosswinds-Clear -178.233633
## Sleet, hail, freezing rain/drizzle-Clear -134.398911
## Snow-Clear -127.473569
## Fog, smog, smoke-Cloudy -36.974335
## Other*-Cloudy -34.170486
## Rain-Cloudy 5.930487
## Severe crosswinds-Cloudy -75.595413
## Sleet, hail, freezing rain/drizzle-Cloudy -31.812945
## Snow-Cloudy -24.884928
## Other*-Fog, smog, smoke -23.591157
## Rain-Fog, smog, smoke 13.870017
## Severe crosswinds-Fog, smog, smoke -58.487686
## Sleet, hail, freezing rain/drizzle-Fog, smog, smoke -18.310255
## Snow-Fog, smog, smoke -11.229911
## Rain-Other* 24.461949
## Severe crosswinds-Other* -52.756372
## Sleet, hail, freezing rain/drizzle-Other* -10.282690
## Snow-Other* -3.292596
## Severe crosswinds-Rain -87.418736
## Sleet, hail, freezing rain/drizzle-Rain -43.784377
## Snow-Rain -36.848867
## Sleet, hail, freezing rain/drizzle-Severe crosswinds -44.208372
## Snow-Severe crosswinds -36.867350
## Snow-Sleet, hail, freezing rain/drizzle -19.445614
## upr
## Clear-Blowing sand, dirt, snow 185.199482
## Cloudy-Blowing sand, dirt, snow 82.557218
## Fog, smog, smoke-Blowing sand, dirt, snow 65.118967
## Other*-Blowing sand, dirt, snow 59.610179
## Rain-Blowing sand, dirt, snow 94.368968
## Severe crosswinds-Blowing sand, dirt, snow 78.142229
## Sleet, hail, freezing rain/drizzle-Blowing sand, dirt, snow 72.614686
## Snow-Blowing sand, dirt, snow 80.376348
## Cloudy-Clear -98.027870
## Fog, smog, smoke-Clear -105.152358
## Other*-Clear -115.965664
## Rain-Clear -85.403518
## Severe crosswinds-Clear -74.380353
## Sleet, hail, freezing rain/drizzle-Clear -96.366714
## Snow-Clear -88.162347
## Fog, smog, smoke-Cloudy -2.392645
## Other*-Cloudy -13.146449
## Rain-Cloudy 17.542533
## Severe crosswinds-Cloudy 28.318433
## Sleet, hail, freezing rain/drizzle-Cloudy 6.384325
## Snow-Cloudy 14.586018
## Other*-Fog, smog, smoke 15.641203
## Rain-Fog, smog, smoke 48.969983
## Severe crosswinds-Fog, smog, smoke 50.577686
## Sleet, hail, freezing rain/drizzle-Fog, smog, smoke 32.248616
## Snow-Fog, smog, smoke 40.297981
## Rain-Other* 46.328005
## Severe crosswinds-Other* 52.796326
## Sleet, hail, freezing rain/drizzle-Other* 32.171005
## Snow-Other* 40.310620
## Severe crosswinds-Rain 16.668736
## Sleet, hail, freezing rain/drizzle-Rain -5.117262
## Snow-Rain 3.076937
## Sleet, hail, freezing rain/drizzle-Severe crosswinds 66.056733
## Snow-Severe crosswinds 73.845421
## Snow-Sleet, hail, freezing rain/drizzle 34.575324
## p adj
## Clear-Blowing sand, dirt, snow 0.0000000
## Cloudy-Blowing sand, dirt, snow 0.9628471
## Fog, smog, smoke-Blowing sand, dirt, snow 1.0000000
## Other*-Blowing sand, dirt, snow 1.0000000
## Rain-Blowing sand, dirt, snow 0.6992078
## Severe crosswinds-Blowing sand, dirt, snow 1.0000000
## Sleet, hail, freezing rain/drizzle-Blowing sand, dirt, snow 0.9999171
## Snow-Blowing sand, dirt, snow 0.9948626
## Cloudy-Clear 0.0000000
## Fog, smog, smoke-Clear 0.0000000
## Other*-Clear 0.0000000
## Rain-Clear 0.0000000
## Severe crosswinds-Clear 0.0000000
## Sleet, hail, freezing rain/drizzle-Clear 0.0000000
## Snow-Clear 0.0000000
## Fog, smog, smoke-Cloudy 0.0123827
## Other*-Cloudy 0.0000000
## Rain-Cloudy 0.0000000
## Severe crosswinds-Cloudy 0.8936956
## Sleet, hail, freezing rain/drizzle-Cloudy 0.4971748
## Snow-Cloudy 0.9966236
## Other*-Fog, smog, smoke 0.9994515
## Rain-Fog, smog, smoke 0.0000010
## Severe crosswinds-Fog, smog, smoke 0.9999998
## Sleet, hail, freezing rain/drizzle-Fog, smog, smoke 0.9950586
## Snow-Fog, smog, smoke 0.7148971
## Rain-Other* 0.0000000
## Severe crosswinds-Other* 1.0000000
## Sleet, hail, freezing rain/drizzle-Other* 0.8052613
## Snow-Other* 0.1725726
## Severe crosswinds-Rain 0.4670094
## Sleet, hail, freezing rain/drizzle-Rain 0.0028416
## Snow-Rain 0.1764366
## Sleet, hail, freezing rain/drizzle-Severe crosswinds 0.9995352
## Snow-Severe crosswinds 0.9823688
## Snow-Sleet, hail, freezing rain/drizzle 0.9944949Is there a significant difference between the amount of crashes per each traffic control type?
crashes_traffic= crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(TrafficControlType != "Unknown", TrafficControlType != "NA") %>%
group_by(Date, TrafficControlType) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_traffic = aov(count ~ TrafficControlType, data = crashes_traffic)
summary(anova_traffic)## Df Sum Sq Mean Sq F value Pr(>F)
## TrafficControlType 16 17767479 1110467 2787 <2e-16 ***
## Residuals 10621 4231769 398
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_traffic)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ TrafficControlType, data = crashes_traffic)
##
## $TrafficControlType
## diff
## Double yellow line (no passing zone)- -1.01063830
## Flashing signal with stop sign- -0.69178082
## Flashing signal without stop sign- -0.95299145
## Flashing stop and go signal- -0.65217391
## Human control- -1.09821429
## NaN- -0.39130435
## No control present- 105.34316239
## Other*- -0.44955752
## RR cross bucks only- -1.00000000
## RR flasher- -2.00000000
## RR gate and flasher- -1.70833333
## School zone signs- -2.20000000
## Stop and go signal- 34.07408994
## Stop sign- 8.47175640
## Warning sign- -2.01612903
## Yied sign- -0.92866083
## Flashing signal with stop sign-Double yellow line (no passing zone) 0.31885748
## Flashing signal without stop sign-Double yellow line (no passing zone) 0.05764684
## Flashing stop and go signal-Double yellow line (no passing zone) 0.35846438
## Human control-Double yellow line (no passing zone) -0.08757599
## NaN-Double yellow line (no passing zone) 0.61933395
## No control present-Double yellow line (no passing zone) 106.35380069
## Other*-Double yellow line (no passing zone) 0.56108078
## RR cross bucks only-Double yellow line (no passing zone) 0.01063830
## RR flasher-Double yellow line (no passing zone) -0.98936170
## RR gate and flasher-Double yellow line (no passing zone) -0.69769504
## School zone signs-Double yellow line (no passing zone) -1.18936170
## Stop and go signal-Double yellow line (no passing zone) 35.08472823
## Stop sign-Double yellow line (no passing zone) 9.48239470
## Warning sign-Double yellow line (no passing zone) -1.00549073
## Yied sign-Double yellow line (no passing zone) 0.08197747
## Flashing signal without stop sign-Flashing signal with stop sign -0.26121063
## Flashing stop and go signal-Flashing signal with stop sign 0.03960691
## Human control-Flashing signal with stop sign -0.40643346
## NaN-Flashing signal with stop sign 0.30047647
## No control present-Flashing signal with stop sign 106.03494322
## Other*-Flashing signal with stop sign 0.24222330
## RR cross bucks only-Flashing signal with stop sign -0.30821918
## RR flasher-Flashing signal with stop sign -1.30821918
## RR gate and flasher-Flashing signal with stop sign -1.01655251
## School zone signs-Flashing signal with stop sign -1.50821918
## Stop and go signal-Flashing signal with stop sign 34.76587076
## Stop sign-Flashing signal with stop sign 9.16353722
## Warning sign-Flashing signal with stop sign -1.32434821
## Yied sign-Flashing signal with stop sign -0.23688000
## Flashing stop and go signal-Flashing signal without stop sign 0.30081754
## Human control-Flashing signal without stop sign -0.14522283
## NaN-Flashing signal without stop sign 0.56168711
## No control present-Flashing signal without stop sign 106.29615385
## Other*-Flashing signal without stop sign 0.50343393
## RR cross bucks only-Flashing signal without stop sign -0.04700855
## RR flasher-Flashing signal without stop sign -1.04700855
## RR gate and flasher-Flashing signal without stop sign -0.75534188
## School zone signs-Flashing signal without stop sign -1.24700855
## Stop and go signal-Flashing signal without stop sign 35.02708139
## Stop sign-Flashing signal without stop sign 9.42474785
## Warning sign-Flashing signal without stop sign -1.06313758
## Yied sign-Flashing signal without stop sign 0.02433063
## Human control-Flashing stop and go signal -0.44604037
## NaN-Flashing stop and go signal 0.26086957
## No control present-Flashing stop and go signal 105.99533631
## Other*-Flashing stop and go signal 0.20261639
## RR cross bucks only-Flashing stop and go signal -0.34782609
## RR flasher-Flashing stop and go signal -1.34782609
## RR gate and flasher-Flashing stop and go signal -1.05615942
## School zone signs-Flashing stop and go signal -1.54782609
## Stop and go signal-Flashing stop and go signal 34.72626385
## Stop sign-Flashing stop and go signal 9.12393031
## Warning sign-Flashing stop and go signal -1.36395512
## Yied sign-Flashing stop and go signal -0.27648691
## NaN-Human control 0.70690994
## No control present-Human control 106.44137668
## Other*-Human control 0.64865676
## RR cross bucks only-Human control 0.09821429
## RR flasher-Human control -0.90178571
## RR gate and flasher-Human control -0.61011905
## School zone signs-Human control -1.10178571
## Stop and go signal-Human control 35.17230422
## Stop sign-Human control 9.56997068
## Warning sign-Human control -0.91791475
## Yied sign-Human control 0.16955346
## No control present-NaN 105.73446674
## Other*-NaN -0.05825317
## RR cross bucks only-NaN -0.60869565
## RR flasher-NaN -1.60869565
## RR gate and flasher-NaN -1.31702899
## School zone signs-NaN -1.80869565
## Stop and go signal-NaN 34.46539428
## Stop sign-NaN 8.86306075
## Warning sign-NaN -1.62482468
## Yied sign-NaN -0.53735648
## Other*-No control present -105.79271992
## RR cross bucks only-No control present -106.34316239
## RR flasher-No control present -107.34316239
## RR gate and flasher-No control present -107.05149573
## School zone signs-No control present -107.54316239
## Stop and go signal-No control present -71.26907246
## Stop sign-No control present -96.87140599
## Warning sign-No control present -107.35929143
## Yied sign-No control present -106.27182322
## RR cross bucks only-Other* -0.55044248
## RR flasher-Other* -1.55044248
## RR gate and flasher-Other* -1.25877581
## School zone signs-Other* -1.75044248
## Stop and go signal-Other* 34.52364746
## Stop sign-Other* 8.92131392
## Warning sign-Other* -1.56657151
## Yied sign-Other* -0.47910330
## RR flasher-RR cross bucks only -1.00000000
## RR gate and flasher-RR cross bucks only -0.70833333
## School zone signs-RR cross bucks only -1.20000000
## Stop and go signal-RR cross bucks only 35.07408994
## Stop sign-RR cross bucks only 9.47175640
## Warning sign-RR cross bucks only -1.01612903
## Yied sign-RR cross bucks only 0.07133917
## RR gate and flasher-RR flasher 0.29166667
## School zone signs-RR flasher -0.20000000
## Stop and go signal-RR flasher 36.07408994
## Stop sign-RR flasher 10.47175640
## Warning sign-RR flasher -0.01612903
## Yied sign-RR flasher 1.07133917
## School zone signs-RR gate and flasher -0.49166667
## Stop and go signal-RR gate and flasher 35.78242327
## Stop sign-RR gate and flasher 10.18008973
## Warning sign-RR gate and flasher -0.30779570
## Yied sign-RR gate and flasher 0.77967251
## Stop and go signal-School zone signs 36.27408994
## Stop sign-School zone signs 10.67175640
## Warning sign-School zone signs 0.18387097
## Yied sign-School zone signs 1.27133917
## Stop sign-Stop and go signal -25.60233354
## Warning sign-Stop and go signal -36.09021897
## Yied sign-Stop and go signal -35.00275076
## Warning sign-Stop sign -10.48788543
## Yied sign-Stop sign -9.40041722
## Yied sign-Warning sign 1.08746821
## lwr
## Double yellow line (no passing zone)- -5.567841
## Flashing signal with stop sign- -6.734752
## Flashing signal without stop sign- -5.876028
## Flashing stop and go signal- -11.020909
## Human control- -7.912258
## NaN- -5.847782
## No control present- 102.914539
## Other*- -3.956609
## RR cross bucks only- -70.077936
## RR flasher- -50.865233
## RR gate and flasher- -15.939397
## School zone signs- -33.142540
## Stop and go signal- 31.644568
## Stop sign- 6.029472
## Warning sign- -11.002912
## Yied sign- -4.063622
## Flashing signal with stop sign-Double yellow line (no passing zone) -6.721334
## Flashing signal without stop sign-Double yellow line (no passing zone) -6.048341
## Flashing stop and go signal-Double yellow line (no passing zone) -10.621402
## Human control-Double yellow line (no passing zone) -7.799774
## NaN-Double yellow line (no passing zone) -5.924362
## No control present-Double yellow line (no passing zone) 102.001214
## Other*-Double yellow line (no passing zone) -4.473421
## RR cross bucks only-Double yellow line (no passing zone) -69.161669
## RR flasher-Double yellow line (no passing zone) -49.987910
## RR gate and flasher-Double yellow line (no passing zone) -15.379997
## School zone signs-Double yellow line (no passing zone) -32.342011
## Stop and go signal-Double yellow line (no passing zone) 30.731640
## Stop sign-Double yellow line (no passing zone) 5.122171
## Warning sign-Double yellow line (no passing zone) -10.690999
## Yied sign-Double yellow line (no passing zone) -4.700782
## Flashing signal without stop sign-Flashing signal with stop sign -7.543552
## Flashing stop and go signal-Flashing signal with stop sign -11.635446
## Human control-Flashing signal with stop sign -9.079806
## NaN-Flashing signal with stop sign -7.352585
## No control present-Flashing signal with stop sign 100.144746
## Other*-Flashing signal with stop sign -6.168363
## RR cross bucks only-Flashing signal with stop sign -69.594275
## RR flasher-Flashing signal with stop sign -50.467218
## RR gate and flasher-Flashing signal with stop sign -16.225740
## School zone signs-Flashing signal with stop sign -32.912629
## Stop and go signal-Flashing signal with stop sign 28.875304
## Stop sign-Flashing signal with stop sign 3.267695
## Warning sign-Flashing signal with stop sign -11.791367
## Yied sign-Flashing signal with stop sign -6.451716
## Flashing stop and go signal-Flashing signal without stop sign -10.835863
## Human control-Flashing signal without stop sign -8.079086
## NaN-Flashing signal without stop sign -6.241852
## No control present-Flashing signal without stop sign 101.561895
## Other*-Flashing signal without stop sign -4.864471
## RR cross bucks only-Flashing signal without stop sign -69.244381
## RR flasher-Flashing signal without stop sign -50.080935
## RR gate and flasher-Flashing signal without stop sign -15.555280
## School zone signs-Flashing signal without stop sign -32.455273
## Stop and go signal-Flashing signal without stop sign 30.292362
## Stop sign-Flashing signal without stop sign 4.683467
## Warning sign-Flashing signal without stop sign -10.926061
## Yied sign-Flashing signal without stop sign -5.108211
## Human control-Flashing stop and go signal -12.538210
## NaN-Flashing stop and go signal -11.121684
## No control present-Flashing stop and go signal 95.714890
## Other*-Flashing stop and go signal -10.384582
## RR cross bucks only-Flashing stop and go signal -70.144321
## RR flasher-Flashing stop and go signal -51.223675
## RR gate and flasher-Flashing stop and go signal -18.443297
## School zone signs-Flashing stop and go signal -34.062902
## Stop and go signal-Flashing stop and go signal 24.445605
## Stop sign-Flashing stop and go signal -1.159752
## Warning sign-Flashing stop and go signal -14.800906
## Yied sign-Flashing stop and go signal -10.746317
## NaN-Human control -7.568538
## No control present-Human control 99.762447
## Other*-Human control -6.493423
## RR cross bucks only-Human control -69.259346
## RR flasher-Human control -50.161514
## RR gate and flasher-Human control -16.141799
## School zone signs-Human control -32.663640
## Stop and go signal-Human control 28.493048
## Stop sign-Human control 2.886061
## Warning sign-Human control -11.848247
## Yied sign-Human control -6.797360
## No control present-NaN 100.447684
## Other*-NaN -5.919248
## RR cross bucks only-NaN -69.846064
## RR flasher-NaN -50.699049
## RR gate and flasher-NaN -16.302857
## School zone signs-NaN -33.105543
## Stop and go signal-NaN 29.178199
## Stop sign-NaN 3.569989
## Warning sign-NaN -11.764555
## Yied sign-NaN -6.183580
## Other*-No control present -109.029435
## RR cross bucks only-No control present -175.407902
## RR flasher-No control present -156.189737
## RR gate and flasher-No control present -121.218362
## School zone signs-No control present -138.456229
## Stop and go signal-No control present -73.288848
## Stop sign-No control present -98.906515
## Warning sign-No control present -116.244064
## Yied sign-No control present -109.101116
## RR cross bucks only-Other* -69.661508
## RR flasher-Other* -50.462497
## RR gate and flasher-Other* -15.649790
## School zone signs-Other* -32.766872
## Stop and go signal-Other* 31.286258
## Stop sign-Other* 5.674336
## Warning sign-Other* -10.804558
## Yied sign-Other* -4.274640
## RR flasher-RR cross bucks only -85.568617
## RR gate and flasher-RR cross bucks only -71.182181
## School zone signs-RR cross bucks only -76.840471
## Stop and go signal-RR cross bucks only -33.990681
## Stop sign-RR cross bucks only -59.593465
## Warning sign-RR cross bucks only -70.620743
## Yied sign-RR cross bucks only -69.021844
## RR gate and flasher-RR flasher -50.527747
## School zone signs-RR flasher -57.971364
## Stop and go signal-RR flasher -12.772530
## Stop sign-RR flasher -38.375500
## Warning sign-RR flasher -49.623104
## Yied sign-RR flasher -47.815445
## School zone signs-RR gate and flasher -34.436367
## Stop and go signal-RR gate and flasher 21.615403
## Stop sign-RR gate and flasher -3.989124
## Warning sign-RR gate and flasher -16.907921
## Yied sign-RR gate and flasher -13.525217
## Stop and go signal-School zone signs 5.360953
## Stop sign-School zone signs -20.242387
## Warning sign-School zone signs -31.917247
## Yied sign-School zone signs -29.705224
## Stop sign-Stop and go signal -27.638514
## Warning sign-Stop and go signal -44.975237
## Yied sign-Stop and go signal -37.832815
## Warning sign-Stop sign -19.376402
## Yied sign-Stop sign -12.241445
## Yied sign-Warning sign -8.015771
## upr
## Double yellow line (no passing zone)- 3.546565
## Flashing signal with stop sign- 5.351190
## Flashing signal without stop sign- 3.970045
## Flashing stop and go signal- 9.716561
## Human control- 5.715829
## NaN- 5.065174
## No control present- 107.771786
## Other*- 3.057494
## RR cross bucks only- 68.077936
## RR flasher- 46.865233
## RR gate and flasher- 12.522730
## School zone signs- 28.742540
## Stop and go signal- 36.503612
## Stop sign- 10.914041
## Warning sign- 6.970654
## Yied sign- 2.206301
## Flashing signal with stop sign-Double yellow line (no passing zone) 7.359049
## Flashing signal without stop sign-Double yellow line (no passing zone) 6.163635
## Flashing stop and go signal-Double yellow line (no passing zone) 11.338331
## Human control-Double yellow line (no passing zone) 7.624622
## NaN-Double yellow line (no passing zone) 7.163030
## No control present-Double yellow line (no passing zone) 110.706388
## Other*-Double yellow line (no passing zone) 5.595583
## RR cross bucks only-Double yellow line (no passing zone) 69.182946
## RR flasher-Double yellow line (no passing zone) 48.009187
## RR gate and flasher-Double yellow line (no passing zone) 13.984606
## School zone signs-Double yellow line (no passing zone) 29.963288
## Stop and go signal-Double yellow line (no passing zone) 39.437816
## Stop sign-Double yellow line (no passing zone) 13.842619
## Warning sign-Double yellow line (no passing zone) 8.680018
## Yied sign-Double yellow line (no passing zone) 4.864737
## Flashing signal without stop sign-Flashing signal with stop sign 7.021131
## Flashing stop and go signal-Flashing signal with stop sign 11.714660
## Human control-Flashing signal with stop sign 8.266939
## NaN-Flashing signal with stop sign 7.953538
## No control present-Flashing signal with stop sign 111.925140
## Other*-Flashing signal with stop sign 6.652810
## RR cross bucks only-Flashing signal with stop sign 68.977836
## RR flasher-Flashing signal with stop sign 47.850780
## RR gate and flasher-Flashing signal with stop sign 14.192635
## School zone signs-Flashing signal with stop sign 29.896191
## Stop and go signal-Flashing signal with stop sign 40.656438
## Stop sign-Flashing signal with stop sign 15.059380
## Warning sign-Flashing signal with stop sign 9.142670
## Yied sign-Flashing signal with stop sign 5.977956
## Flashing stop and go signal-Flashing signal without stop sign 11.437498
## Human control-Flashing signal without stop sign 7.788640
## NaN-Flashing signal without stop sign 7.365226
## No control present-Flashing signal without stop sign 111.030413
## Other*-Flashing signal without stop sign 5.871339
## RR cross bucks only-Flashing signal without stop sign 69.150364
## RR flasher-Flashing signal without stop sign 47.986918
## RR gate and flasher-Flashing signal without stop sign 14.044596
## School zone signs-Flashing signal without stop sign 29.961256
## Stop and go signal-Flashing signal without stop sign 39.761801
## Stop sign-Flashing signal without stop sign 14.166029
## Warning sign-Flashing signal without stop sign 8.799786
## Yied sign-Flashing signal without stop sign 5.156872
## Human control-Flashing stop and go signal 11.646129
## NaN-Flashing stop and go signal 11.643423
## No control present-Flashing stop and go signal 116.275783
## Other*-Flashing stop and go signal 10.789815
## RR cross bucks only-Flashing stop and go signal 69.448669
## RR flasher-Flashing stop and go signal 48.528023
## RR gate and flasher-Flashing stop and go signal 16.330978
## School zone signs-Flashing stop and go signal 30.967250
## Stop and go signal-Flashing stop and go signal 45.006922
## Stop sign-Flashing stop and go signal 19.407612
## Warning sign-Flashing stop and go signal 12.072995
## Yied sign-Flashing stop and go signal 10.193344
## NaN-Human control 8.982358
## No control present-Human control 113.120307
## Other*-Human control 7.790737
## RR cross bucks only-Human control 69.455775
## RR flasher-Human control 48.357943
## RR gate and flasher-Human control 14.921560
## School zone signs-Human control 30.460069
## Stop and go signal-Human control 41.851561
## Stop sign-Human control 16.253880
## Warning sign-Human control 10.012418
## Yied sign-Human control 7.136466
## No control present-NaN 111.021249
## Other*-NaN 5.802742
## RR cross bucks only-NaN 68.628673
## RR flasher-NaN 47.481658
## RR gate and flasher-NaN 13.668799
## School zone signs-NaN 29.488151
## Stop and go signal-NaN 39.752589
## Stop sign-NaN 14.156132
## Warning sign-NaN 8.514905
## Yied sign-NaN 5.108867
## Other*-No control present -102.556005
## RR cross bucks only-No control present -37.278423
## RR flasher-No control present -58.496587
## RR gate and flasher-No control present -92.884630
## School zone signs-No control present -76.630096
## Stop and go signal-No control present -69.249297
## Stop sign-No control present -94.836297
## Warning sign-No control present -98.474519
## Yied sign-No control present -103.442530
## RR cross bucks only-Other* 68.560623
## RR flasher-Other* 47.361612
## RR gate and flasher-Other* 13.132238
## School zone signs-Other* 29.265987
## Stop and go signal-Other* 37.761037
## Stop sign-Other* 12.168292
## Warning sign-Other* 7.671415
## Yied sign-Other* 3.316433
## RR flasher-RR cross bucks only 83.568617
## RR gate and flasher-RR cross bucks only 69.765514
## School zone signs-RR cross bucks only 74.440471
## Stop and go signal-RR cross bucks only 104.138861
## Stop sign-RR cross bucks only 78.536977
## Warning sign-RR cross bucks only 68.588485
## Yied sign-RR cross bucks only 69.164523
## RR gate and flasher-RR flasher 51.111081
## School zone signs-RR flasher 57.571364
## Stop and go signal-RR flasher 84.920710
## Stop sign-RR flasher 59.319013
## Warning sign-RR flasher 49.590846
## Yied sign-RR flasher 49.958123
## School zone signs-RR gate and flasher 33.453033
## Stop and go signal-RR gate and flasher 49.949443
## Stop sign-RR gate and flasher 24.349304
## Warning sign-RR gate and flasher 16.292329
## Yied sign-RR gate and flasher 15.084562
## Stop and go signal-School zone signs 67.187227
## Stop sign-School zone signs 41.585899
## Warning sign-School zone signs 32.284989
## Yied sign-School zone signs 32.247902
## Stop sign-Stop and go signal -23.566153
## Warning sign-Stop and go signal -27.205201
## Yied sign-Stop and go signal -32.172687
## Warning sign-Stop sign -1.599369
## Yied sign-Stop sign -6.559389
## Yied sign-Warning sign 10.190707
## p adj
## Double yellow line (no passing zone)- 0.9999973
## Flashing signal with stop sign- 1.0000000
## Flashing signal without stop sign- 0.9999996
## Flashing stop and go signal- 1.0000000
## Human control- 1.0000000
## NaN- 1.0000000
## No control present- 0.0000000
## Other*- 1.0000000
## RR cross bucks only- 1.0000000
## RR flasher- 1.0000000
## RR gate and flasher- 1.0000000
## School zone signs- 1.0000000
## Stop and go signal- 0.0000000
## Stop sign- 0.0000000
## Warning sign- 0.9999969
## Yied sign- 0.9998581
## Flashing signal with stop sign-Double yellow line (no passing zone) 1.0000000
## Flashing signal without stop sign-Double yellow line (no passing zone) 1.0000000
## Flashing stop and go signal-Double yellow line (no passing zone) 1.0000000
## Human control-Double yellow line (no passing zone) 1.0000000
## NaN-Double yellow line (no passing zone) 1.0000000
## No control present-Double yellow line (no passing zone) 0.0000000
## Other*-Double yellow line (no passing zone) 1.0000000
## RR cross bucks only-Double yellow line (no passing zone) 1.0000000
## RR flasher-Double yellow line (no passing zone) 1.0000000
## RR gate and flasher-Double yellow line (no passing zone) 1.0000000
## School zone signs-Double yellow line (no passing zone) 1.0000000
## Stop and go signal-Double yellow line (no passing zone) 0.0000000
## Stop sign-Double yellow line (no passing zone) 0.0000000
## Warning sign-Double yellow line (no passing zone) 1.0000000
## Yied sign-Double yellow line (no passing zone) 1.0000000
## Flashing signal without stop sign-Flashing signal with stop sign 1.0000000
## Flashing stop and go signal-Flashing signal with stop sign 1.0000000
## Human control-Flashing signal with stop sign 1.0000000
## NaN-Flashing signal with stop sign 1.0000000
## No control present-Flashing signal with stop sign 0.0000000
## Other*-Flashing signal with stop sign 1.0000000
## RR cross bucks only-Flashing signal with stop sign 1.0000000
## RR flasher-Flashing signal with stop sign 1.0000000
## RR gate and flasher-Flashing signal with stop sign 1.0000000
## School zone signs-Flashing signal with stop sign 1.0000000
## Stop and go signal-Flashing signal with stop sign 0.0000000
## Stop sign-Flashing signal with stop sign 0.0000103
## Warning sign-Flashing signal with stop sign 1.0000000
## Yied sign-Flashing signal with stop sign 1.0000000
## Flashing stop and go signal-Flashing signal without stop sign 1.0000000
## Human control-Flashing signal without stop sign 1.0000000
## NaN-Flashing signal without stop sign 1.0000000
## No control present-Flashing signal without stop sign 0.0000000
## Other*-Flashing signal without stop sign 1.0000000
## RR cross bucks only-Flashing signal without stop sign 1.0000000
## RR flasher-Flashing signal without stop sign 1.0000000
## RR gate and flasher-Flashing signal without stop sign 1.0000000
## School zone signs-Flashing signal without stop sign 1.0000000
## Stop and go signal-Flashing signal without stop sign 0.0000000
## Stop sign-Flashing signal without stop sign 0.0000000
## Warning sign-Flashing signal without stop sign 1.0000000
## Yied sign-Flashing signal without stop sign 1.0000000
## Human control-Flashing stop and go signal 1.0000000
## NaN-Flashing stop and go signal 1.0000000
## No control present-Flashing stop and go signal 0.0000000
## Other*-Flashing stop and go signal 1.0000000
## RR cross bucks only-Flashing stop and go signal 1.0000000
## RR flasher-Flashing stop and go signal 1.0000000
## RR gate and flasher-Flashing stop and go signal 1.0000000
## School zone signs-Flashing stop and go signal 1.0000000
## Stop and go signal-Flashing stop and go signal 0.0000000
## Stop sign-Flashing stop and go signal 0.1548942
## Warning sign-Flashing stop and go signal 1.0000000
## Yied sign-Flashing stop and go signal 1.0000000
## NaN-Human control 1.0000000
## No control present-Human control 0.0000000
## Other*-Human control 1.0000000
## RR cross bucks only-Human control 1.0000000
## RR flasher-Human control 1.0000000
## RR gate and flasher-Human control 1.0000000
## School zone signs-Human control 1.0000000
## Stop and go signal-Human control 0.0000000
## Stop sign-Human control 0.0000968
## Warning sign-Human control 1.0000000
## Yied sign-Human control 1.0000000
## No control present-NaN 0.0000000
## Other*-NaN 1.0000000
## RR cross bucks only-NaN 1.0000000
## RR flasher-NaN 1.0000000
## RR gate and flasher-NaN 1.0000000
## School zone signs-NaN 1.0000000
## Stop and go signal-NaN 0.0000000
## Stop sign-NaN 0.0000010
## Warning sign-NaN 1.0000000
## Yied sign-NaN 1.0000000
## Other*-No control present 0.0000000
## RR cross bucks only-No control present 0.0000136
## RR flasher-No control present 0.0000000
## RR gate and flasher-No control present 0.0000000
## School zone signs-No control present 0.0000000
## Stop and go signal-No control present 0.0000000
## Stop sign-No control present 0.0000000
## Warning sign-No control present 0.0000000
## Yied sign-No control present 0.0000000
## RR cross bucks only-Other* 1.0000000
## RR flasher-Other* 1.0000000
## RR gate and flasher-Other* 1.0000000
## School zone signs-Other* 1.0000000
## Stop and go signal-Other* 0.0000000
## Stop sign-Other* 0.0000000
## Warning sign-Other* 0.9999999
## Yied sign-Other* 1.0000000
## RR flasher-RR cross bucks only 1.0000000
## RR gate and flasher-RR cross bucks only 1.0000000
## School zone signs-RR cross bucks only 1.0000000
## Stop and go signal-RR cross bucks only 0.9444219
## Stop sign-RR cross bucks only 1.0000000
## Warning sign-RR cross bucks only 1.0000000
## Yied sign-RR cross bucks only 1.0000000
## RR gate and flasher-RR flasher 1.0000000
## School zone signs-RR flasher 1.0000000
## Stop and go signal-RR flasher 0.4600136
## Stop sign-RR flasher 0.9999984
## Warning sign-RR flasher 1.0000000
## Yied sign-RR flasher 1.0000000
## School zone signs-RR gate and flasher 1.0000000
## Stop and go signal-RR gate and flasher 0.0000000
## Stop sign-RR gate and flasher 0.5127816
## Warning sign-RR gate and flasher 1.0000000
## Yied sign-RR gate and flasher 1.0000000
## Stop and go signal-School zone signs 0.0056752
## Stop sign-School zone signs 0.9990217
## Warning sign-School zone signs 1.0000000
## Yied sign-School zone signs 1.0000000
## Stop sign-Stop and go signal 0.0000000
## Warning sign-Stop and go signal 0.0000000
## Yied sign-Stop and go signal 0.0000000
## Warning sign-Stop sign 0.0051811
## Yied sign-Stop sign 0.0000000
## Yied sign-Warning sign 1.0000000Is there a significant difference between the amount of crashes per each road feature?
crashes_roadfeat = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(RoadFeature != "Unknown", RoadFeature != "NA", RoadFeature != "NaN") %>%
group_by(Date, RoadFeature) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_roadfeat = aov(count ~ RoadFeature, data = crashes_roadfeat)
summary(anova_roadfeat)## Df Sum Sq Mean Sq F value Pr(>F)
## RoadFeature 25 25550604 1022024 4173 <2e-16 ***
## Residuals 17780 4354717 245
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_roadfeat)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ RoadFeature, data = crashes_roadfeat)
##
## $RoadFeature
## diff
## Alley intersection- -1.657124e-01
## Bridge- 8.847240e-01
## Bridge approach- -3.477171e-01
## Driveway, private- 4.437271e-01
## Driveway, public- 7.974783e+00
## End or beginning-divided highway- -7.335004e-01
## Five point, or more- -9.813266e-02
## Four-way intersection- 1.409805e+01
## Merge lane between on and off ramp- -1.026760e-01
## No Special Feature- 1.154383e+02
## Non-intersection median crossing- 1.966256e-01
## Off-ramp entry- 3.482456e-01
## Off-ramp proper- 3.913767e-01
## Off-ramp terminal on crossroad- 3.305382e-01
## On-ramp entry- 2.941948e-02
## On-ramp proper- -3.173388e-01
## On-ramp terminal on crossroad- -3.042389e-01
## Other- 4.312850e-02
## Railroad crossing- -4.946115e-01
## Related to intersection- 1.143243e+00
## Shared-use paths or trails- -7.612782e-01
## T-intersection- 5.588992e+00
## Traffic circle/roundabout- -3.238568e-01
## Underpass- -1.643607e-01
## Y-intersection- -1.331687e-01
## Bridge-Alley intersection 1.050436e+00
## Bridge approach-Alley intersection -1.820047e-01
## Driveway, private-Alley intersection 6.094396e-01
## Driveway, public-Alley intersection 8.140496e+00
## End or beginning-divided highway-Alley intersection -5.677880e-01
## Five point, or more-Alley intersection 6.757979e-02
## Four-way intersection-Alley intersection 1.426376e+01
## Merge lane between on and off ramp-Alley intersection 6.303640e-02
## No Special Feature-Alley intersection 1.156040e+02
## Non-intersection median crossing-Alley intersection 3.623380e-01
## Off-ramp entry-Alley intersection 5.139581e-01
## Off-ramp proper-Alley intersection 5.570891e-01
## Off-ramp terminal on crossroad-Alley intersection 4.962506e-01
## On-ramp entry-Alley intersection 1.951319e-01
## On-ramp proper-Alley intersection -1.516264e-01
## On-ramp terminal on crossroad-Alley intersection -1.385264e-01
## Other-Alley intersection 2.088409e-01
## Railroad crossing-Alley intersection -3.288991e-01
## Related to intersection-Alley intersection 1.308955e+00
## Shared-use paths or trails-Alley intersection -5.955657e-01
## T-intersection-Alley intersection 5.754704e+00
## Traffic circle/roundabout-Alley intersection -1.581444e-01
## Underpass-Alley intersection 1.351701e-03
## Y-intersection-Alley intersection 3.254370e-02
## Bridge approach-Bridge -1.232441e+00
## Driveway, private-Bridge -4.409968e-01
## Driveway, public-Bridge 7.090060e+00
## End or beginning-divided highway-Bridge -1.618224e+00
## Five point, or more-Bridge -9.828566e-01
## Four-way intersection-Bridge 1.321332e+01
## Merge lane between on and off ramp-Bridge -9.874000e-01
## No Special Feature-Bridge 1.145536e+02
## Non-intersection median crossing-Bridge -6.880984e-01
## Off-ramp entry-Bridge -5.364784e-01
## Off-ramp proper-Bridge -4.933473e-01
## Off-ramp terminal on crossroad-Bridge -5.541858e-01
## On-ramp entry-Bridge -8.553045e-01
## On-ramp proper-Bridge -1.202063e+00
## On-ramp terminal on crossroad-Bridge -1.188963e+00
## Other-Bridge -8.415955e-01
## Railroad crossing-Bridge -1.379335e+00
## Related to intersection-Bridge 2.585188e-01
## Shared-use paths or trails-Bridge -1.646002e+00
## T-intersection-Bridge 4.704268e+00
## Traffic circle/roundabout-Bridge -1.208581e+00
## Underpass-Bridge -1.049085e+00
## Y-intersection-Bridge -1.017893e+00
## Driveway, private-Bridge approach 7.914442e-01
## Driveway, public-Bridge approach 8.322501e+00
## End or beginning-divided highway-Bridge approach -3.857833e-01
## Five point, or more-Bridge approach 2.495845e-01
## Four-way intersection-Bridge approach 1.444576e+01
## Merge lane between on and off ramp-Bridge approach 2.450411e-01
## No Special Feature-Bridge approach 1.157860e+02
## Non-intersection median crossing-Bridge approach 5.443427e-01
## Off-ramp entry-Bridge approach 6.959627e-01
## Off-ramp proper-Bridge approach 7.390938e-01
## Off-ramp terminal on crossroad-Bridge approach 6.782553e-01
## On-ramp entry-Bridge approach 3.771366e-01
## On-ramp proper-Bridge approach 3.037832e-02
## On-ramp terminal on crossroad-Bridge approach 4.347826e-02
## Other-Bridge approach 3.908456e-01
## Railroad crossing-Bridge approach -1.468944e-01
## Related to intersection-Bridge approach 1.490960e+00
## Shared-use paths or trails-Bridge approach -4.135611e-01
## T-intersection-Bridge approach 5.936709e+00
## Traffic circle/roundabout-Bridge approach 2.386031e-02
## Underpass-Bridge approach 1.833564e-01
## Y-intersection-Bridge approach 2.145484e-01
## Driveway, public-Driveway, private 7.531056e+00
## End or beginning-divided highway-Driveway, private -1.177228e+00
## Five point, or more-Driveway, private -5.418598e-01
## Four-way intersection-Driveway, private 1.365432e+01
## Merge lane between on and off ramp-Driveway, private -5.464032e-01
## No Special Feature-Driveway, private 1.149946e+02
## Non-intersection median crossing-Driveway, private -2.471015e-01
## Off-ramp entry-Driveway, private -9.548152e-02
## Off-ramp proper-Driveway, private -5.235046e-02
## Off-ramp terminal on crossroad-Driveway, private -1.131890e-01
## On-ramp entry-Driveway, private -4.143077e-01
## On-ramp proper-Driveway, private -7.610659e-01
## On-ramp terminal on crossroad-Driveway, private -7.479660e-01
## Other-Driveway, private -4.005986e-01
## Railroad crossing-Driveway, private -9.383387e-01
## Related to intersection-Driveway, private 6.995156e-01
## Shared-use paths or trails-Driveway, private -1.205005e+00
## T-intersection-Driveway, private 5.145264e+00
## Traffic circle/roundabout-Driveway, private -7.675839e-01
## Underpass-Driveway, private -6.080879e-01
## Y-intersection-Driveway, private -5.768959e-01
## End or beginning-divided highway-Driveway, public -8.708284e+00
## Five point, or more-Driveway, public -8.072916e+00
## Four-way intersection-Driveway, public 6.123264e+00
## Merge lane between on and off ramp-Driveway, public -8.077460e+00
## No Special Feature-Driveway, public 1.074635e+02
## Non-intersection median crossing-Driveway, public -7.778158e+00
## Off-ramp entry-Driveway, public -7.626538e+00
## Off-ramp proper-Driveway, public -7.583407e+00
## Off-ramp terminal on crossroad-Driveway, public -7.644245e+00
## On-ramp entry-Driveway, public -7.945364e+00
## On-ramp proper-Driveway, public -8.292122e+00
## On-ramp terminal on crossroad-Driveway, public -8.279022e+00
## Other-Driveway, public -7.931655e+00
## Railroad crossing-Driveway, public -8.469395e+00
## Related to intersection-Driveway, public -6.831541e+00
## Shared-use paths or trails-Driveway, public -8.736062e+00
## T-intersection-Driveway, public -2.385792e+00
## Traffic circle/roundabout-Driveway, public -8.298640e+00
## Underpass-Driveway, public -8.139144e+00
## Y-intersection-Driveway, public -8.107952e+00
## Five point, or more-End or beginning-divided highway 6.353678e-01
## Four-way intersection-End or beginning-divided highway 1.483155e+01
## Merge lane between on and off ramp-End or beginning-divided highway 6.308244e-01
## No Special Feature-End or beginning-divided highway 1.161718e+02
## Non-intersection median crossing-End or beginning-divided highway 9.301260e-01
## Off-ramp entry-End or beginning-divided highway 1.081746e+00
## Off-ramp proper-End or beginning-divided highway 1.124877e+00
## Off-ramp terminal on crossroad-End or beginning-divided highway 1.064039e+00
## On-ramp entry-End or beginning-divided highway 7.629199e-01
## On-ramp proper-End or beginning-divided highway 4.161616e-01
## On-ramp terminal on crossroad-End or beginning-divided highway 4.292616e-01
## Other-End or beginning-divided highway 7.766289e-01
## Railroad crossing-End or beginning-divided highway 2.388889e-01
## Related to intersection-End or beginning-divided highway 1.876743e+00
## Shared-use paths or trails-End or beginning-divided highway -2.777778e-02
## T-intersection-End or beginning-divided highway 6.322492e+00
## Traffic circle/roundabout-End or beginning-divided highway 4.096436e-01
## Underpass-End or beginning-divided highway 5.691397e-01
## Y-intersection-End or beginning-divided highway 6.003317e-01
## Four-way intersection-Five point, or more 1.419618e+01
## Merge lane between on and off ramp-Five point, or more -4.543389e-03
## No Special Feature-Five point, or more 1.155364e+02
## Non-intersection median crossing-Five point, or more 2.947582e-01
## Off-ramp entry-Five point, or more 4.463783e-01
## Off-ramp proper-Five point, or more 4.895093e-01
## Off-ramp terminal on crossroad-Five point, or more 4.286708e-01
## On-ramp entry-Five point, or more 1.275521e-01
## On-ramp proper-Five point, or more -2.192061e-01
## On-ramp terminal on crossroad-Five point, or more -2.061062e-01
## Other-Five point, or more 1.412612e-01
## Railroad crossing-Five point, or more -3.964789e-01
## Related to intersection-Five point, or more 1.241375e+00
## Shared-use paths or trails-Five point, or more -6.631455e-01
## T-intersection-Five point, or more 5.687124e+00
## Traffic circle/roundabout-Five point, or more -2.257242e-01
## Underpass-Five point, or more -6.622809e-02
## Y-intersection-Five point, or more -3.503609e-02
## Merge lane between on and off ramp-Four-way intersection -1.420072e+01
## No Special Feature-Four-way intersection 1.013402e+02
## Non-intersection median crossing-Four-way intersection -1.390142e+01
## Off-ramp entry-Four-way intersection -1.374980e+01
## Off-ramp proper-Four-way intersection -1.370667e+01
## Off-ramp terminal on crossroad-Four-way intersection -1.376751e+01
## On-ramp entry-Four-way intersection -1.406863e+01
## On-ramp proper-Four-way intersection -1.441539e+01
## On-ramp terminal on crossroad-Four-way intersection -1.440229e+01
## Other-Four-way intersection -1.405492e+01
## Railroad crossing-Four-way intersection -1.459266e+01
## Related to intersection-Four-way intersection -1.295480e+01
## Shared-use paths or trails-Four-way intersection -1.485933e+01
## T-intersection-Four-way intersection -8.509056e+00
## Traffic circle/roundabout-Four-way intersection -1.442190e+01
## Underpass-Four-way intersection -1.426241e+01
## Y-intersection-Four-way intersection -1.423122e+01
## No Special Feature-Merge lane between on and off ramp 1.155410e+02
## Non-intersection median crossing-Merge lane between on and off ramp 2.993016e-01
## Off-ramp entry-Merge lane between on and off ramp 4.509217e-01
## Off-ramp proper-Merge lane between on and off ramp 4.940527e-01
## Off-ramp terminal on crossroad-Merge lane between on and off ramp 4.332142e-01
## On-ramp entry-Merge lane between on and off ramp 1.320955e-01
## On-ramp proper-Merge lane between on and off ramp -2.146628e-01
## On-ramp terminal on crossroad-Merge lane between on and off ramp -2.015628e-01
## Other-Merge lane between on and off ramp 1.458045e-01
## Railroad crossing-Merge lane between on and off ramp -3.919355e-01
## Related to intersection-Merge lane between on and off ramp 1.245919e+00
## Shared-use paths or trails-Merge lane between on and off ramp -6.586022e-01
## T-intersection-Merge lane between on and off ramp 5.691668e+00
## Traffic circle/roundabout-Merge lane between on and off ramp -2.211808e-01
## Underpass-Merge lane between on and off ramp -6.168470e-02
## Y-intersection-Merge lane between on and off ramp -3.049270e-02
## Non-intersection median crossing-No Special Feature -1.152417e+02
## Off-ramp entry-No Special Feature -1.150900e+02
## Off-ramp proper-No Special Feature -1.150469e+02
## Off-ramp terminal on crossroad-No Special Feature -1.151078e+02
## On-ramp entry-No Special Feature -1.154089e+02
## On-ramp proper-No Special Feature -1.157556e+02
## On-ramp terminal on crossroad-No Special Feature -1.157425e+02
## Other-No Special Feature -1.153952e+02
## Railroad crossing-No Special Feature -1.159329e+02
## Related to intersection-No Special Feature -1.142951e+02
## Shared-use paths or trails-No Special Feature -1.161996e+02
## T-intersection-No Special Feature -1.098493e+02
## Traffic circle/roundabout-No Special Feature -1.157622e+02
## Underpass-No Special Feature -1.156027e+02
## Y-intersection-No Special Feature -1.155715e+02
## Off-ramp entry-Non-intersection median crossing 1.516200e-01
## Off-ramp proper-Non-intersection median crossing 1.947511e-01
## Off-ramp terminal on crossroad-Non-intersection median crossing 1.339126e-01
## On-ramp entry-Non-intersection median crossing -1.672061e-01
## On-ramp proper-Non-intersection median crossing -5.139644e-01
## On-ramp terminal on crossroad-Non-intersection median crossing -5.008644e-01
## Other-Non-intersection median crossing -1.534971e-01
## Railroad crossing-Non-intersection median crossing -6.912371e-01
## Related to intersection-Non-intersection median crossing 9.466171e-01
## Shared-use paths or trails-Non-intersection median crossing -9.579038e-01
## T-intersection-Non-intersection median crossing 5.392366e+00
## Traffic circle/roundabout-Non-intersection median crossing -5.204824e-01
## Underpass-Non-intersection median crossing -3.609863e-01
## Y-intersection-Non-intersection median crossing -3.297943e-01
## Off-ramp proper-Off-ramp entry 4.313106e-02
## Off-ramp terminal on crossroad-Off-ramp entry -1.770744e-02
## On-ramp entry-Off-ramp entry -3.188261e-01
## On-ramp proper-Off-ramp entry -6.655844e-01
## On-ramp terminal on crossroad-Off-ramp entry -6.524845e-01
## Other-Off-ramp entry -3.051171e-01
## Railroad crossing-Off-ramp entry -8.428571e-01
## Related to intersection-Off-ramp entry 7.949971e-01
## Shared-use paths or trails-Off-ramp entry -1.109524e+00
## T-intersection-Off-ramp entry 5.240746e+00
## Traffic circle/roundabout-Off-ramp entry -6.721024e-01
## Underpass-Off-ramp entry -5.126064e-01
## Y-intersection-Off-ramp entry -4.814144e-01
## Off-ramp terminal on crossroad-Off-ramp proper -6.083850e-02
## On-ramp entry-Off-ramp proper -3.619572e-01
## On-ramp proper-Off-ramp proper -7.087155e-01
## On-ramp terminal on crossroad-Off-ramp proper -6.956155e-01
## Other-Off-ramp proper -3.482482e-01
## Railroad crossing-Off-ramp proper -8.859882e-01
## Related to intersection-Off-ramp proper 7.518661e-01
## Shared-use paths or trails-Off-ramp proper -1.152655e+00
## T-intersection-Off-ramp proper 5.197615e+00
## Traffic circle/roundabout-Off-ramp proper -7.152335e-01
## Underpass-Off-ramp proper -5.557374e-01
## Y-intersection-Off-ramp proper -5.245454e-01
## On-ramp entry-Off-ramp terminal on crossroad -3.011187e-01
## On-ramp proper-Off-ramp terminal on crossroad -6.478770e-01
## On-ramp terminal on crossroad-Off-ramp terminal on crossroad -6.347770e-01
## Other-Off-ramp terminal on crossroad -2.874097e-01
## Railroad crossing-Off-ramp terminal on crossroad -8.251497e-01
## Related to intersection-Off-ramp terminal on crossroad 8.127046e-01
## Shared-use paths or trails-Off-ramp terminal on crossroad -1.091816e+00
## T-intersection-Off-ramp terminal on crossroad 5.258453e+00
## Traffic circle/roundabout-Off-ramp terminal on crossroad -6.543950e-01
## Underpass-Off-ramp terminal on crossroad -4.948989e-01
## Y-intersection-Off-ramp terminal on crossroad -4.637069e-01
## On-ramp proper-On-ramp entry -3.467583e-01
## On-ramp terminal on crossroad-On-ramp entry -3.336583e-01
## Other-On-ramp entry 1.370902e-02
## Railroad crossing-On-ramp entry -5.240310e-01
## Related to intersection-On-ramp entry 1.113823e+00
## Shared-use paths or trails-On-ramp entry -7.906977e-01
## T-intersection-On-ramp entry 5.559572e+00
## Traffic circle/roundabout-On-ramp entry -3.532763e-01
## Underpass-On-ramp entry -1.937802e-01
## Y-intersection-On-ramp entry -1.625882e-01
## On-ramp terminal on crossroad-On-ramp proper 1.309994e-02
## Other-On-ramp proper 3.604673e-01
## Railroad crossing-On-ramp proper -1.772727e-01
## Related to intersection-On-ramp proper 1.460582e+00
## Shared-use paths or trails-On-ramp proper -4.439394e-01
## T-intersection-On-ramp proper 5.906330e+00
## Traffic circle/roundabout-On-ramp proper -6.518010e-03
## Underpass-On-ramp proper 1.529781e-01
## Y-intersection-On-ramp proper 1.841701e-01
## Other-On-ramp terminal on crossroad 3.473674e-01
## Railroad crossing-On-ramp terminal on crossroad -1.903727e-01
## Related to intersection-On-ramp terminal on crossroad 1.447482e+00
## Shared-use paths or trails-On-ramp terminal on crossroad -4.570393e-01
## T-intersection-On-ramp terminal on crossroad 5.893230e+00
## Traffic circle/roundabout-On-ramp terminal on crossroad -1.961795e-02
## Underpass-On-ramp terminal on crossroad 1.398781e-01
## Y-intersection-On-ramp terminal on crossroad 1.710701e-01
## Railroad crossing-Other -5.377400e-01
## Related to intersection-Other 1.100114e+00
## Shared-use paths or trails-Other -8.044067e-01
## T-intersection-Other 5.545863e+00
## Traffic circle/roundabout-Other -3.669853e-01
## Underpass-Other -2.074892e-01
## Y-intersection-Other -1.762972e-01
## Related to intersection-Railroad crossing 1.637854e+00
## Shared-use paths or trails-Railroad crossing -2.666667e-01
## T-intersection-Railroad crossing 6.083603e+00
## Traffic circle/roundabout-Railroad crossing 1.707547e-01
## Underpass-Railroad crossing 3.302508e-01
## Y-intersection-Railroad crossing 3.614428e-01
## Shared-use paths or trails-Related to intersection -1.904521e+00
## T-intersection-Related to intersection 4.445749e+00
## Traffic circle/roundabout-Related to intersection -1.467100e+00
## Underpass-Related to intersection -1.307603e+00
## Y-intersection-Related to intersection -1.276411e+00
## T-intersection-Shared-use paths or trails 6.350270e+00
## Traffic circle/roundabout-Shared-use paths or trails 4.374214e-01
## Underpass-Shared-use paths or trails 5.969175e-01
## Y-intersection-Shared-use paths or trails 6.281095e-01
## Traffic circle/roundabout-T-intersection -5.912848e+00
## Underpass-T-intersection -5.753352e+00
## Y-intersection-T-intersection -5.722160e+00
## Underpass-Traffic circle/roundabout 1.594961e-01
## Y-intersection-Traffic circle/roundabout 1.906881e-01
## Y-intersection-Underpass 3.119200e-02
## lwr
## Alley intersection- -6.38694339
## Bridge- -2.81323415
## Bridge approach- -5.72222608
## Driveway, private- -2.86551914
## Driveway, public- 4.84772119
## End or beginning-divided highway- -14.60391656
## Five point, or more- -7.51255756
## Four-way intersection- 10.97651821
## Merge lane between on and off ramp- -4.95799993
## No Special Feature- 112.32051204
## Non-intersection median crossing- -6.31984872
## Off-ramp entry- -3.26258855
## Off-ramp proper- -3.00901439
## Off-ramp terminal on crossroad- -3.31156039
## On-ramp entry- -3.80803655
## On-ramp proper- -4.60050090
## On-ramp terminal on crossroad- -5.67874782
## Other- -3.58990596
## Railroad crossing- -13.68476139
## Related to intersection- -2.27118147
## Shared-use paths or trails- -17.62634260
## T-intersection- 2.44548262
## Traffic circle/roundabout- -4.88547382
## Underpass- -4.48775257
## Y-intersection- -5.11209063
## Bridge-Alley intersection -4.93032728
## Bridge approach-Alley intersection -7.32203176
## Driveway, private-Alley intersection -5.13910381
## Driveway, public-Alley intersection 2.49486411
## End or beginning-divided highway-Alley intersection -15.21302898
## Five point, or more-Alley intersection -8.71127758
## Four-way intersection-Alley intersection 8.62119071
## Merge lane between on and off ramp-Alley intersection -6.69483383
## No Special Feature-Alley intersection 109.96350982
## Non-intersection median crossing-Alley intersection -7.67252834
## Off-ramp entry-Alley intersection -5.41333166
## Off-ramp proper-Alley intersection -5.24440203
## Off-ramp terminal on crossroad-Alley intersection -5.45013670
## On-ramp entry-Alley intersection -5.87287507
## On-ramp proper-Alley intersection -6.51088084
## On-ramp terminal on crossroad-Alley intersection -7.27855350
## Other-Alley intersection -5.73199902
## Railroad crossing-Alley intersection -14.33156645
## Related to intersection-Alley intersection -4.50077225
## Shared-use paths or trails-Alley intersection -18.10342220
## T-intersection-Alley intersection 0.09994594
## Traffic circle/roundabout-Alley intersection -6.70818176
## Underpass-Alley intersection -6.38506803
## Y-intersection-Alley intersection -6.81466765
## Bridge approach-Bridge -6.32666983
## Driveway, private-Bridge -3.27241536
## Driveway, public-Bridge 4.47389085
## End or beginning-divided highway-Bridge -15.38246297
## Five point, or more-Bridge -8.19669863
## Four-way intersection-Bridge 10.60377098
## Merge lane between on and off ramp-Bridge -5.53052558
## No Special Feature-Bridge 111.94850098
## Non-intersection median crossing-Bridge -6.97540761
## Off-ramp entry-Bridge -3.71514840
## Off-ramp proper-Bridge -3.43077463
## Off-ramp terminal on crossroad-Bridge -3.76832672
## On-ramp entry-Bridge -4.28923645
## On-ramp proper-Bridge -5.12778531
## On-ramp terminal on crossroad-Bridge -6.28319157
## Other-Bridge -4.04546178
## Railroad crossing-Bridge -14.45778622
## Related to intersection-Bridge -2.69514210
## Shared-use paths or trails-Bridge -18.42385117
## T-intersection-Bridge 2.06846252
## Traffic circle/roundabout-Bridge -5.43636621
## Underpass-Bridge -5.01866111
## Y-intersection-Bridge -5.69287753
## Driveway, private-Bridge approach -4.02803531
## Driveway, public-Bridge approach 3.62624775
## End or beginning-divided highway-Bridge approach -14.69189096
## Five point, or more-Bridge approach -7.95102338
## Four-way intersection-Bridge approach 9.75319401
## Merge lane between on and off ramp-Bridge approach -5.74248281
## No Special Feature-Bridge approach 111.09593273
## Non-intersection median crossing-Bridge approach -6.85435378
## Off-ramp entry-Bridge approach -4.33537860
## Off-ramp proper-Bridge approach -4.14341906
## Off-ramp terminal on crossroad-Bridge approach -4.37557041
## On-ramp entry-Bridge approach -4.81924109
## On-ramp proper-Bridge approach -5.50331393
## On-ramp terminal on crossroad-Bridge approach -6.37225388
## Other-Bridge approach -4.65645185
## Railroad crossing-Bridge approach -13.79447023
## Related to intersection-Bridge approach -3.40133664
## Shared-use paths or trails-Bridge approach -17.63873654
## T-intersection-Bridge approach 1.22948859
## Traffic circle/roundabout-Bridge approach -5.72806302
## Underpass-Bridge approach -5.38153259
## Y-intersection-Bridge approach -5.87363160
## Driveway, public-Driveway, private 5.50114129
## End or beginning-divided highway-Driveway, private -14.84216372
## Five point, or more-Driveway, private -7.56437595
## Four-way intersection-Driveway, private 11.63293949
## Merge lane between on and off ramp-Driveway, private -4.77915719
## No Special Feature-Driveway, private 112.97897714
## Non-intersection median crossing-Driveway, private -6.31393548
## Off-ramp entry-Driveway, private -2.81212649
## Off-ramp proper-Driveway, private -2.48230848
## Off-ramp terminal on crossroad-Driveway, private -2.87125323
## On-ramp entry-Driveway, private -3.42563715
## On-ramp proper-Driveway, private -4.32301962
## On-ramp terminal on crossroad-Driveway, private -5.56744555
## Other-Driveway, private -3.14668238
## Railroad crossing-Driveway, private -13.91223899
## Related to intersection-Driveway, private -1.75004133
## Shared-use paths or trails-Driveway, private -17.90148502
## T-intersection-Driveway, private 3.09010386
## Traffic circle/roundabout-Driveway, private -4.65993365
## Underpass-Driveway, private -4.21831688
## Y-intersection-Driveway, private -4.95087572
## End or beginning-divided highway-Driveway, public -22.33024736
## Five point, or more-Driveway, public -15.01144199
## Four-way intersection-Driveway, public 4.41639903
## Merge lane between on and off ramp-Driveway, public -12.16935571
## No Special Feature-Driveway, public 105.76350758
## Non-intersection median crossing-Driveway, public -13.74757008
## Off-ramp entry-Driveway, public -10.11803695
## Off-ramp proper-Driveway, public -9.75874672
## Off-ramp terminal on crossroad-Driveway, public -10.18084270
## On-ramp entry-Driveway, public -10.75525958
## On-ramp proper-Driveway, public -11.68548667
## On-ramp terminal on crossroad-Driveway, public -12.97527521
## Other-Driveway, public -10.45522066
## Railroad crossing-Driveway, public -21.39802595
## Related to intersection-Driveway, public -9.02875192
## Shared-use paths or trails-Driveway, public -25.39738942
## T-intersection-Driveway, public -4.13252965
## Traffic circle/roundabout-Driveway, public -12.03732911
## Underpass-Driveway, public -11.58314789
## Y-intersection-Driveway, public -12.34577095
## Five point, or more-End or beginning-divided highway -14.55519070
## Four-way intersection-End or beginning-divided highway 1.21085320
## Merge lane between on and off ramp-End or beginning-divided highway -13.48843693
## No Special Feature-End or beginning-divided highway 102.55195871
## Non-intersection median crossing-End or beginning-divided highway -13.84295110
## Off-ramp entry-End or beginning-divided highway -12.65934174
## Off-ramp proper-End or beginning-divided highway -12.56241735
## Off-ramp terminal on crossroad-End or beginning-divided highway -12.68529782
## On-ramp entry-End or beginning-divided highway -13.03945086
## On-ramp proper-End or beginning-divided highway -13.51670770
## On-ramp terminal on crossroad-End or beginning-divided highway -13.87684610
## Other-End or beginning-divided highway -12.97030925
## Railroad crossing-End or beginning-divided highway -18.46296725
## Related to intersection-End or beginning-divided highway -11.81404436
## Shared-use paths or trails-End or beginning-divided highway -21.48027803
## T-intersection-End or beginning-divided highway -7.30325641
## Traffic circle/roundabout-End or beginning-divided highway -13.61133066
## Underpass-End or beginning-divided highway -13.37614937
## Y-intersection-End or beginning-divided highway -13.56190801
## Four-way intersection-Five point, or more 7.26014591
## Merge lane between on and off ramp-Five point, or more -7.87466361
## No Special Feature-Five point, or more 108.60207858
## Non-intersection median crossing-Five point, or more -8.69574006
## Off-ramp entry-Five point, or more -6.72319255
## Off-ramp proper-Five point, or more -6.57641466
## Off-ramp terminal on crossroad-Five point, or more -6.75669655
## On-ramp entry-Five point, or more -7.15878378
## On-ramp proper-Five point, or more -7.74981700
## On-ramp terminal on crossroad-Five point, or more -8.40671404
## Other-Five point, or more -7.03951608
## Railroad crossing-Five point, or more -14.96853006
## Related to intersection-Five point, or more -5.83131258
## Shared-use paths or trails-Five point, or more -18.62964269
## T-intersection-Five point, or more -1.25882936
## Traffic circle/roundabout-Five point, or more -7.91812118
## Underpass-Five point, or more -7.61979276
## Y-intersection-Five point, or more -7.98200315
## Merge lane between on and off ramp-Four-way intersection -18.28839207
## No Special Feature-Four-way intersection 99.65044416
## Non-intersection median crossing-Four-way intersection -19.86793678
## Off-ramp entry-Four-way intersection -16.23435191
## Off-ramp proper-Four-way intersection -15.87404832
## Off-ramp terminal on crossroad-Four-way intersection -16.29728154
## On-ramp entry-Four-way intersection -16.87236374
## On-ramp proper-Four-way intersection -17.80365167
## On-ramp terminal on crossroad-Four-way intersection -19.09485602
## Other-Four-way intersection -16.57162416
## Railroad crossing-Four-way intersection -27.51995221
## Related to intersection-Four-way intersection -15.14413306
## Shared-use paths or trails-Four-way intersection -31.51961530
## T-intersection-Four-way intersection -10.24586755
## Traffic circle/roundabout-Four-way intersection -18.15596564
## Underpass-Four-way intersection -17.70138796
## Y-intersection-Four-way intersection -18.46495301
## No Special Feature-Merge lane between on and off ramp 111.45616171
## Non-intersection median crossing-Merge lane between on and off ramp -6.73131236
## Off-ramp entry-Merge lane between on and off ramp -4.02157418
## Off-ramp proper-Merge lane between on and off ramp -3.81033517
## Off-ramp terminal on crossroad-Merge lane between on and off ramp -4.06456052
## On-ramp entry-Merge lane between on and off ramp -4.52528190
## On-ramp proper-Merge lane between on and off ramp -5.24562422
## On-ramp terminal on crossroad-Merge lane between on and off ramp -6.18908670
## Other-Merge lane between on and off ramp -4.34463364
## Railroad crossing-Merge lane between on and off ramp -13.84352086
## Related to intersection-Merge lane between on and off ramp -3.06956362
## Shared-use paths or trails-Merge lane between on and off ramp -17.72891243
## T-intersection-Merge lane between on and off ramp 1.58718905
## Traffic circle/roundabout-Merge lane between on and off ramp -5.49123251
## Underpass-Merge lane between on and off ramp -5.12694013
## Y-intersection-Merge lane between on and off ramp -5.66562879
## Non-intersection median crossing-No Special Feature -121.20622504
## Off-ramp entry-No Special Feature -117.56989082
## Off-ramp proper-No Special Feature -117.20889657
## Off-ramp terminal on crossroad-No Special Feature -117.63290476
## On-ramp entry-No Special Feature -118.20843953
## On-ramp proper-No Special Feature -119.14044794
## On-ramp terminal on crossroad-No Special Feature -120.43261215
## Other-No Special Feature -117.90722334
## Railroad crossing-No Special Feature -128.85929551
## Related to intersection-No Special Feature -116.47903558
## Shared-use paths or trails-No Special Feature -132.85916119
## T-intersection-No Special Feature -111.57937262
## Traffic circle/roundabout-No Special Feature -119.49308179
## Underpass-No Special Feature -119.03823517
## Y-intersection-No Special Feature -119.80243898
## Off-ramp entry-Non-intersection median crossing -6.08484423
## Off-ramp proper-Non-intersection median crossing -5.92227617
## Off-ramp terminal on crossroad-Non-intersection median crossing -6.12070531
## On-ramp entry-Non-intersection median crossing -6.53756182
## On-ramp proper-Non-intersection median crossing -7.16233566
## On-ramp terminal on crossroad-Non-intersection median crossing -7.89956093
## Other-Non-intersection median crossing -6.40284125
## Railroad crossing-Non-intersection median crossing -14.82755263
## Related to intersection-Non-intersection median crossing -5.17822210
## Shared-use paths or trails-Non-intersection median crossing -18.57283383
## T-intersection-Non-intersection median crossing -0.58567817
## Traffic circle/roundabout-Non-intersection median crossing -7.35156670
## Underpass-Non-intersection median crossing -7.03534622
## Y-intersection-Non-intersection median crossing -7.44632622
## Off-ramp proper-Off-ramp entry -2.78382993
## Off-ramp terminal on crossroad-Off-ramp entry -3.13121527
## On-ramp entry-Off-ramp entry -3.65875395
## On-ramp proper-Off-ramp entry -4.50934905
## On-ramp terminal on crossroad-Off-ramp entry -5.68382581
## Other-Off-ramp entry -3.40801712
## Railroad crossing-Off-ramp entry -13.89694089
## Related to intersection-Off-ramp entry -2.04882806
## Shared-use paths or trails-Off-ramp entry -17.86838554
## T-intersection-Off-ramp entry 2.72863579
## Traffic circle/roundabout-Off-ramp entry -4.82389706
## Underpass-Off-ramp entry -4.40114926
## Y-intersection-Off-ramp entry -5.08779169
## Off-ramp terminal on crossroad-Off-ramp proper -2.92762538
## On-ramp entry-Off-ramp proper -3.47317141
## On-ramp proper-Off-ramp proper -4.35550346
## On-ramp terminal on crossroad-Off-ramp proper -5.57812838
## Other-Off-ramp proper -3.20351077
## Railroad crossing-Off-ramp proper -13.88343558
## Related to intersection-Off-ramp proper -1.81949111
## Shared-use paths or trails-Off-ramp proper -17.86743822
## T-intersection-Off-ramp proper 2.99869845
## Traffic circle/roundabout-Off-ramp proper -4.68536381
## Underpass-Off-ramp proper -4.24969220
## Y-intersection-Off-ramp proper -4.96788293
## On-ramp entry-Off-ramp terminal on crossroad -3.67482236
## On-ramp proper-Off-ramp terminal on crossroad -4.52102623
## On-ramp terminal on crossroad-Off-ramp terminal on crossroad -5.68860274
## Other-Off-ramp terminal on crossroad -3.42663681
## Railroad crossing-Off-ramp terminal on crossroad -13.88791591
## Related to intersection-Off-ramp terminal on crossroad -2.07071359
## Shared-use paths or trails-Off-ramp terminal on crossroad -17.85744207
## T-intersection-Off-ramp terminal on crossroad 2.70160844
## Traffic circle/roundabout-Off-ramp terminal on crossroad -4.83340890
## Underpass-Off-ramp terminal on crossroad -4.41249059
## Y-intersection-Off-ramp terminal on crossroad -5.09463239
## On-ramp proper-On-ramp entry -4.40415548
## On-ramp terminal on crossroad-On-ramp entry -5.53003603
## Other-On-ramp entry -3.35020743
## Railroad crossing-On-ramp entry -13.64260745
## Related to intersection-On-ramp entry -2.01272230
## Shared-use paths or trails-On-ramp entry -17.59984376
## T-intersection-On-ramp entry 2.73138486
## Traffic circle/roundabout-On-ramp entry -4.70360320
## Underpass-On-ramp entry -4.29362307
## Y-intersection-On-ramp entry -4.94867824
## On-ramp terminal on crossroad-On-ramp proper -5.52059230
## Other-On-ramp proper -3.50415980
## Railroad crossing-On-ramp proper -13.43308114
## Related to intersection-On-ramp proper -2.19929494
## Shared-use paths or trails-On-ramp proper -17.36040477
## T-intersection-On-ramp proper 2.49780403
## Traffic circle/roundabout-On-ramp proper -4.75464953
## Underpass-On-ramp proper -4.36676973
## Y-intersection-On-ramp proper -4.96617618
## Other-On-ramp terminal on crossroad -4.69993011
## Railroad crossing-On-ramp terminal on crossroad -13.83794849
## Related to intersection-On-ramp terminal on crossroad -3.44481490
## Shared-use paths or trails-On-ramp terminal on crossroad -17.68221480
## T-intersection-On-ramp terminal on crossroad 1.18601033
## Traffic circle/roundabout-On-ramp terminal on crossroad -5.77154129
## Underpass-On-ramp terminal on crossroad -5.42501085
## Y-intersection-On-ramp terminal on crossroad -5.91710986
## Railroad crossing-Other -13.59798193
## Related to intersection-Other -1.77184637
## Shared-use paths or trails-Other -17.56806568
## T-intersection-Other 3.00194609
## Traffic circle/roundabout-Other -4.53810204
## Underpass-Other -4.11665565
## Y-intersection-Other -4.80009744
## Related to intersection-Railroad crossing -11.36327153
## Shared-use paths or trails-Railroad crossing -21.28573840
## T-intersection-Railroad crossing -6.84901569
## Traffic circle/roundabout-Railroad crossing -13.17762828
## Underpass-Railroad crossing -12.93861111
## Y-intersection-Railroad crossing -13.13524726
## Shared-use paths or trails-Related to intersection -18.62216476
## T-intersection-Related to intersection 2.22519336
## Traffic circle/roundabout-Related to intersection -5.44925573
## Underpass-Related to intersection -5.01448020
## Y-intersection-Related to intersection -5.73049738
## T-intersection-Shared-use paths or trails -10.31415261
## Traffic circle/roundabout-Shared-use paths or trails -16.55168315
## Underpass-Shared-use paths or trails -16.32977863
## Y-intersection-Shared-use paths or trails -16.47776633
## Traffic circle/roundabout-T-intersection -9.66530400
## Underpass-T-intersection -9.21229585
## Y-intersection-T-intersection -9.97212932
## Underpass-Traffic circle/roundabout -4.62495711
## Y-intersection-Traffic circle/roundabout -5.19344961
## Y-intersection-Underpass -5.15265847
## upr
## Alley intersection- 6.0555185
## Bridge- 4.5826821
## Bridge approach- 5.0267918
## Driveway, private- 3.7529734
## Driveway, public- 11.1018458
## End or beginning-divided highway- 13.1369157
## Five point, or more- 7.3162922
## Four-way intersection- 17.2195758
## Merge lane between on and off ramp- 4.7526478
## No Special Feature- 118.5560769
## Non-intersection median crossing- 6.7130999
## Off-ramp entry- 3.9590798
## Off-ramp proper- 3.7917677
## Off-ramp terminal on crossroad- 3.9726367
## On-ramp entry- 3.8668755
## On-ramp proper- 3.9658233
## On-ramp terminal on crossroad- 5.0702701
## Other- 3.6761630
## Railroad crossing- 12.6955383
## Related to intersection- 4.5576669
## Shared-use paths or trails- 16.1037862
## T-intersection- 8.7325004
## Traffic circle/roundabout- 4.2377602
## Underpass- 4.1590311
## Y-intersection- 4.8457531
## Bridge-Alley intersection 7.0312001
## Bridge approach-Alley intersection 6.9580224
## Driveway, private-Alley intersection 6.3579830
## Driveway, public-Alley intersection 13.7861278
## End or beginning-divided highway-Alley intersection 14.0774530
## Five point, or more-Alley intersection 8.8464372
## Four-way intersection-Alley intersection 19.9063282
## Merge lane between on and off ramp-Alley intersection 6.8209066
## No Special Feature-Alley intersection 121.2445040
## Non-intersection median crossing-Alley intersection 8.3972044
## Off-ramp entry-Alley intersection 6.4412478
## Off-ramp proper-Alley intersection 6.3585803
## Off-ramp terminal on crossroad-Alley intersection 6.4426379
## On-ramp entry-Alley intersection 6.2631389
## On-ramp proper-Alley intersection 6.2076281
## On-ramp terminal on crossroad-Alley intersection 7.0015007
## Other-Alley intersection 6.1496809
## Railroad crossing-Alley intersection 13.6737683
## Related to intersection-Alley intersection 7.1186826
## Shared-use paths or trails-Alley intersection 16.9122907
## T-intersection-Alley intersection 11.4094620
## Traffic circle/roundabout-Alley intersection 6.3918930
## Underpass-Alley intersection 6.3877714
## Y-intersection-Alley intersection 6.8797551
## Bridge approach-Bridge 3.8617877
## Driveway, private-Bridge 2.3904217
## Driveway, public-Bridge 9.7062282
## End or beginning-divided highway-Bridge 12.1460142
## Five point, or more-Bridge 6.2309854
## Four-way intersection-Bridge 15.8228752
## Merge lane between on and off ramp-Bridge 3.5557256
## No Special Feature-Bridge 117.1586400
## Non-intersection median crossing-Bridge 5.5992108
## Off-ramp entry-Bridge 2.6421917
## Off-ramp proper-Bridge 2.4440800
## Off-ramp terminal on crossroad-Bridge 2.6599551
## On-ramp entry-Bridge 2.5786275
## On-ramp proper-Bridge 2.7236598
## On-ramp terminal on crossroad-Bridge 3.9052659
## Other-Bridge 2.3622708
## Railroad crossing-Bridge 11.6991152
## Related to intersection-Bridge 3.2121796
## Shared-use paths or trails-Bridge 15.1318468
## T-intersection-Bridge 7.3400726
## Traffic circle/roundabout-Bridge 3.0192047
## Underpass-Bridge 2.9204917
## Y-intersection-Bridge 3.6570921
## Driveway, private-Bridge approach 5.6109238
## Driveway, public-Bridge approach 13.0187535
## End or beginning-divided highway-Bridge approach 13.9203244
## Five point, or more-Bridge approach 8.4501923
## Four-way intersection-Bridge approach 19.1383343
## Merge lane between on and off ramp-Bridge approach 6.2325650
## No Special Feature-Bridge approach 120.4760904
## Non-intersection median crossing-Bridge approach 7.9430392
## Off-ramp entry-Bridge approach 5.7273041
## Off-ramp proper-Bridge approach 5.6216066
## Off-ramp terminal on crossroad-Bridge approach 5.7320810
## On-ramp entry-Bridge approach 5.5735143
## On-ramp proper-Bridge approach 5.5640706
## On-ramp terminal on crossroad-Bridge approach 6.4592104
## Other-Bridge approach 5.4381431
## Railroad crossing-Bridge approach 13.5006814
## Related to intersection-Bridge approach 6.3832563
## Shared-use paths or trails-Bridge approach 16.8116144
## T-intersection-Bridge approach 10.6439287
## Traffic circle/roundabout-Bridge approach 5.7757836
## Underpass-Bridge approach 5.7482453
## Y-intersection-Bridge approach 6.3027284
## Driveway, public-Driveway, private 9.5609714
## End or beginning-divided highway-Driveway, private 12.4877086
## Five point, or more-Driveway, private 6.4806564
## Four-way intersection-Driveway, private 15.6757003
## Merge lane between on and off ramp-Driveway, private 3.6863508
## No Special Feature-Driveway, private 117.0101575
## Non-intersection median crossing-Driveway, private 5.8197324
## Off-ramp entry-Driveway, private 2.6211635
## Off-ramp proper-Driveway, private 2.3776076
## Off-ramp terminal on crossroad-Driveway, private 2.6448753
## On-ramp entry-Driveway, private 2.5970219
## On-ramp proper-Driveway, private 2.8008878
## On-ramp terminal on crossroad-Driveway, private 4.0715136
## Other-Driveway, private 2.3454851
## Railroad crossing-Driveway, private 12.0355617
## Related to intersection-Driveway, private 3.1490725
## Shared-use paths or trails-Driveway, private 15.4914744
## T-intersection-Driveway, private 7.2004249
## Traffic circle/roundabout-Driveway, private 3.1247658
## Underpass-Driveway, private 3.0021411
## Y-intersection-Driveway, private 3.7970840
## End or beginning-divided highway-Driveway, public 4.9136795
## Five point, or more-Driveway, public -1.1343903
## Four-way intersection-Driveway, public 7.8301281
## Merge lane between on and off ramp-Driveway, public -3.9855634
## No Special Feature-Driveway, public 109.1635144
## Non-intersection median crossing-Driveway, public -1.8087457
## Off-ramp entry-Driveway, public -5.1350388
## Off-ramp proper-Driveway, public -5.4080669
## Off-ramp terminal on crossroad-Driveway, public -5.1076479
## On-ramp entry-Driveway, public -5.1354684
## On-ramp proper-Driveway, public -4.8987579
## On-ramp terminal on crossroad-Driveway, public -3.5827695
## Other-Driveway, public -5.4080893
## Railroad crossing-Driveway, public 4.4592359
## Related to intersection-Driveway, public -4.6343296
## Shared-use paths or trails-Driveway, public 7.9252660
## T-intersection-Driveway, public -0.6390543
## Traffic circle/roundabout-Driveway, public -4.5599515
## Underpass-Driveway, public -4.6951406
## Y-intersection-Driveway, public -3.8701335
## Five point, or more-End or beginning-divided highway 15.8259262
## Four-way intersection-End or beginning-divided highway 28.4522417
## Merge lane between on and off ramp-End or beginning-divided highway 14.7500857
## No Special Feature-End or beginning-divided highway 129.7916310
## Non-intersection median crossing-End or beginning-divided highway 15.7032031
## Off-ramp entry-End or beginning-divided highway 14.8228338
## Off-ramp proper-End or beginning-divided highway 14.8121715
## Off-ramp terminal on crossroad-End or beginning-divided highway 14.8133750
## On-ramp entry-End or beginning-divided highway 14.5652907
## On-ramp proper-End or beginning-divided highway 14.3490309
## On-ramp terminal on crossroad-End or beginning-divided highway 14.7353692
## Other-End or beginning-divided highway 14.5235671
## Railroad crossing-End or beginning-divided highway 18.9407450
## Related to intersection-End or beginning-divided highway 15.5675306
## Shared-use paths or trails-End or beginning-divided highway 21.4247225
## T-intersection-End or beginning-divided highway 19.9482403
## Traffic circle/roundabout-End or beginning-divided highway 14.4306179
## Underpass-End or beginning-divided highway 14.5144287
## Y-intersection-End or beginning-divided highway 14.7625714
## Four-way intersection-Five point, or more 21.1322135
## Merge lane between on and off ramp-Five point, or more 7.8655768
## No Special Feature-Five point, or more 122.4707756
## Non-intersection median crossing-Five point, or more 9.2852565
## Off-ramp entry-Five point, or more 7.6159491
## Off-ramp proper-Five point, or more 7.5554333
## Off-ramp terminal on crossroad-Five point, or more 7.6140382
## On-ramp entry-Five point, or more 7.4138881
## On-ramp proper-Five point, or more 7.3114047
## On-ramp terminal on crossroad-Five point, or more 7.9945016
## Other-Five point, or more 7.3220384
## Railroad crossing-Five point, or more 14.1755723
## Related to intersection-Five point, or more 8.3140633
## Shared-use paths or trails-Five point, or more 17.3033516
## T-intersection-Five point, or more 12.6330777
## Traffic circle/roundabout-Five point, or more 7.4666729
## Underpass-Five point, or more 7.4873366
## Y-intersection-Five point, or more 7.9119310
## Merge lane between on and off ramp-Four-way intersection -10.1130541
## No Special Feature-Four-way intersection 103.0300507
## Non-intersection median crossing-Four-way intersection -7.9349061
## Off-ramp entry-Four-way intersection -11.2652509
## Off-ramp proper-Four-way intersection -11.5392924
## Off-ramp terminal on crossroad-Four-way intersection -11.2377362
## On-ramp entry-Four-way intersection -11.2648914
## On-ramp proper-Four-way intersection -11.0271200
## On-ramp terminal on crossroad-Four-way intersection -9.7097158
## Other-Four-way intersection -11.5382129
## Railroad crossing-Four-way intersection -1.6653649
## Related to intersection-Four-way intersection -10.7654756
## Shared-use paths or trails-Four-way intersection 1.8009648
## T-intersection-Four-way intersection -6.7722435
## Traffic circle/roundabout-Four-way intersection -10.6878420
## Underpass-Four-way intersection -10.8234276
## Y-intersection-Four-way intersection -9.9974785
## No Special Feature-Merge lane between on and off ramp 119.6257793
## Non-intersection median crossing-Merge lane between on and off ramp 7.3299156
## Off-ramp entry-Merge lane between on and off ramp 4.9234175
## Off-ramp proper-Merge lane between on and off ramp 4.7984406
## Off-ramp terminal on crossroad-Merge lane between on and off ramp 4.9309890
## On-ramp entry-Merge lane between on and off ramp 4.7894729
## On-ramp proper-Merge lane between on and off ramp 4.8162987
## On-ramp terminal on crossroad-Merge lane between on and off ramp 5.7859611
## Other-Merge lane between on and off ramp 4.6362427
## Railroad crossing-Merge lane between on and off ramp 13.0596499
## Related to intersection-Merge lane between on and off ramp 5.5614012
## Shared-use paths or trails-Merge lane between on and off ramp 16.4117081
## T-intersection-Merge lane between on and off ramp 9.7961461
## Traffic circle/roundabout-Merge lane between on and off ramp 5.0488710
## Underpass-Merge lane between on and off ramp 5.0035707
## Y-intersection-Merge lane between on and off ramp 5.6046434
## Non-intersection median crossing-No Special Feature -109.2771127
## Off-ramp entry-No Special Feature -112.6102069
## Off-ramp proper-No Special Feature -112.8849390
## Off-ramp terminal on crossroad-No Special Feature -112.5826078
## On-ramp entry-No Special Feature -112.6093104
## On-ramp proper-No Special Feature -112.3708186
## On-ramp terminal on crossroad-No Special Feature -111.0524545
## Other-No Special Feature -112.8831086
## Railroad crossing-No Special Feature -103.0065165
## Related to intersection-No Special Feature -112.1110679
## Shared-use paths or trails-No Special Feature -99.5399841
## T-intersection-No Special Feature -108.1192333
## Traffic circle/roundabout-No Special Feature -112.0312207
## Underpass-No Special Feature -112.1670752
## Y-intersection-No Special Feature -111.3404874
## Off-ramp entry-Non-intersection median crossing 6.3880843
## Off-ramp proper-Non-intersection median crossing 6.3117783
## Off-ramp terminal on crossroad-Non-intersection median crossing 6.3885305
## On-ramp entry-Non-intersection median crossing 6.2031496
## On-ramp proper-Non-intersection median crossing 6.1344069
## On-ramp terminal on crossroad-Non-intersection median crossing 6.8978320
## Other-Non-intersection median crossing 6.0958471
## Railroad crossing-Non-intersection median crossing 13.4450784
## Related to intersection-Non-intersection median crossing 7.0714564
## Shared-use paths or trails-Non-intersection median crossing 16.6570263
## T-intersection-Non-intersection median crossing 11.3704100
## Traffic circle/roundabout-Non-intersection median crossing 6.3106019
## Underpass-Non-intersection median crossing 6.3133736
## Y-intersection-Non-intersection median crossing 6.7867376
## Off-ramp proper-Off-ramp entry 2.8700920
## Off-ramp terminal on crossroad-Off-ramp entry 3.0958004
## On-ramp entry-Off-ramp entry 3.0211017
## On-ramp proper-Off-ramp entry 3.1781802
## On-ramp terminal on crossroad-Off-ramp entry 4.3788569
## Other-Off-ramp entry 2.7977829
## Railroad crossing-Off-ramp entry 12.2112266
## Related to intersection-Off-ramp entry 3.6388223
## Shared-use paths or trails-Off-ramp entry 15.6493379
## T-intersection-Off-ramp entry 7.7528560
## Traffic circle/roundabout-Off-ramp entry 3.4796922
## Underpass-Off-ramp entry 3.3759365
## Y-intersection-Off-ramp entry 4.1249630
## Off-ramp terminal on crossroad-Off-ramp proper 2.8059484
## On-ramp entry-Off-ramp proper 2.7492570
## On-ramp proper-Off-ramp proper 2.9380725
## On-ramp terminal on crossroad-Off-ramp proper 4.1868973
## Other-Off-ramp proper 2.5070144
## Railroad crossing-Off-ramp proper 12.1114592
## Related to intersection-Off-ramp proper 3.3232232
## Shared-use paths or trails-Off-ramp proper 15.5621285
## T-intersection-Off-ramp proper 7.3965312
## Traffic circle/roundabout-Off-ramp proper 3.2548968
## Underpass-Off-ramp proper 3.1382174
## Y-intersection-Off-ramp proper 3.9187921
## On-ramp entry-Off-ramp terminal on crossroad 3.0725850
## On-ramp proper-Off-ramp terminal on crossroad 3.2252723
## On-ramp terminal on crossroad-Off-ramp terminal on crossroad 4.4190487
## Other-Off-ramp terminal on crossroad 2.8518175
## Railroad crossing-Off-ramp terminal on crossroad 12.2376165
## Related to intersection-Off-ramp terminal on crossroad 3.6961227
## Shared-use paths or trails-Off-ramp terminal on crossroad 15.6738093
## T-intersection-Off-ramp terminal on crossroad 7.8152982
## Traffic circle/roundabout-Off-ramp terminal on crossroad 3.5246189
## Underpass-Off-ramp terminal on crossroad 3.4226928
## Y-intersection-Off-ramp terminal on crossroad 4.1672186
## On-ramp proper-On-ramp entry 3.7106389
## On-ramp terminal on crossroad-On-ramp entry 4.8627194
## Other-On-ramp entry 3.3776255
## Railroad crossing-On-ramp entry 12.5945454
## Related to intersection-On-ramp entry 4.2403688
## Shared-use paths or trails-On-ramp entry 16.0184484
## T-intersection-On-ramp entry 8.3877592
## Traffic circle/roundabout-On-ramp entry 3.9970506
## Underpass-On-ramp entry 3.9060626
## Y-intersection-On-ramp entry 4.6235018
## On-ramp terminal on crossroad-On-ramp proper 5.5467922
## Other-On-ramp proper 4.2250944
## Railroad crossing-On-ramp proper 13.0785357
## Related to intersection-On-ramp proper 5.1204580
## Shared-use paths or trails-On-ramp proper 16.4725260
## T-intersection-On-ramp proper 9.3148566
## Traffic circle/roundabout-On-ramp proper 4.7416135
## Underpass-On-ramp proper 4.6727258
## Y-intersection-On-ramp proper 5.3345163
## Other-On-ramp terminal on crossroad 5.3946648
## Railroad crossing-On-ramp terminal on crossroad 13.4572031
## Related to intersection-On-ramp terminal on crossroad 6.3397781
## Shared-use paths or trails-On-ramp terminal on crossroad 16.7681361
## T-intersection-On-ramp terminal on crossroad 10.6004504
## Traffic circle/roundabout-On-ramp terminal on crossroad 5.7323054
## Underpass-On-ramp terminal on crossroad 5.7047671
## Y-intersection-On-ramp terminal on crossroad 6.2592501
## Railroad crossing-Other 12.5225019
## Related to intersection-Other 3.9720748
## Shared-use paths or trails-Other 15.9592523
## T-intersection-Other 8.0897799
## Traffic circle/roundabout-Other 3.8041314
## Underpass-Other 3.7016772
## Y-intersection-Other 4.4475030
## Related to intersection-Railroad crossing 14.6389800
## Shared-use paths or trails-Railroad crossing 20.7524051
## T-intersection-Railroad crossing 19.0162218
## Traffic circle/roundabout-Railroad crossing 13.5191377
## Underpass-Railroad crossing 13.5991127
## Y-intersection-Railroad crossing 13.8581328
## Shared-use paths or trails-Related to intersection 14.8131229
## T-intersection-Related to intersection 6.6663042
## Traffic circle/roundabout-Related to intersection 2.5150567
## Underpass-Related to intersection 2.3992733
## Y-intersection-Related to intersection 3.1776745
## T-intersection-Shared-use paths or trails 23.0146920
## Traffic circle/roundabout-Shared-use paths or trails 17.4265259
## Underpass-Shared-use paths or trails 17.5236135
## Y-intersection-Shared-use paths or trails 17.7339852
## Traffic circle/roundabout-T-intersection -2.1603927
## Underpass-T-intersection -2.2944087
## Y-intersection-T-intersection -1.4721912
## Underpass-Traffic circle/roundabout 4.9439492
## Y-intersection-Traffic circle/roundabout 5.5748257
## Y-intersection-Underpass 5.2150425
## p adj
## Alley intersection- 1.0000000
## Bridge- 1.0000000
## Bridge approach- 1.0000000
## Driveway, private- 1.0000000
## Driveway, public- 0.0000000
## End or beginning-divided highway- 1.0000000
## Five point, or more- 1.0000000
## Four-way intersection- 0.0000000
## Merge lane between on and off ramp- 1.0000000
## No Special Feature- 0.0000000
## Non-intersection median crossing- 1.0000000
## Off-ramp entry- 1.0000000
## Off-ramp proper- 1.0000000
## Off-ramp terminal on crossroad- 1.0000000
## On-ramp entry- 1.0000000
## On-ramp proper- 1.0000000
## On-ramp terminal on crossroad- 1.0000000
## Other- 1.0000000
## Railroad crossing- 1.0000000
## Related to intersection- 0.9999777
## Shared-use paths or trails- 1.0000000
## T-intersection- 0.0000001
## Traffic circle/roundabout- 1.0000000
## Underpass- 1.0000000
## Y-intersection- 1.0000000
## Bridge-Alley intersection 1.0000000
## Bridge approach-Alley intersection 1.0000000
## Driveway, private-Alley intersection 1.0000000
## Driveway, public-Alley intersection 0.0000361
## End or beginning-divided highway-Alley intersection 1.0000000
## Five point, or more-Alley intersection 1.0000000
## Four-way intersection-Alley intersection 0.0000000
## Merge lane between on and off ramp-Alley intersection 1.0000000
## No Special Feature-Alley intersection 0.0000000
## Non-intersection median crossing-Alley intersection 1.0000000
## Off-ramp entry-Alley intersection 1.0000000
## Off-ramp proper-Alley intersection 1.0000000
## Off-ramp terminal on crossroad-Alley intersection 1.0000000
## On-ramp entry-Alley intersection 1.0000000
## On-ramp proper-Alley intersection 1.0000000
## On-ramp terminal on crossroad-Alley intersection 1.0000000
## Other-Alley intersection 1.0000000
## Railroad crossing-Alley intersection 1.0000000
## Related to intersection-Alley intersection 1.0000000
## Shared-use paths or trails-Alley intersection 1.0000000
## T-intersection-Alley intersection 0.0400743
## Traffic circle/roundabout-Alley intersection 1.0000000
## Underpass-Alley intersection 1.0000000
## Y-intersection-Alley intersection 1.0000000
## Bridge approach-Bridge 1.0000000
## Driveway, private-Bridge 1.0000000
## Driveway, public-Bridge 0.0000000
## End or beginning-divided highway-Bridge 1.0000000
## Five point, or more-Bridge 1.0000000
## Four-way intersection-Bridge 0.0000000
## Merge lane between on and off ramp-Bridge 1.0000000
## No Special Feature-Bridge 0.0000000
## Non-intersection median crossing-Bridge 1.0000000
## Off-ramp entry-Bridge 1.0000000
## Off-ramp proper-Bridge 1.0000000
## Off-ramp terminal on crossroad-Bridge 1.0000000
## On-ramp entry-Bridge 0.9999999
## On-ramp proper-Bridge 0.9999960
## On-ramp terminal on crossroad-Bridge 1.0000000
## Other-Bridge 0.9999998
## Railroad crossing-Bridge 1.0000000
## Related to intersection-Bridge 1.0000000
## Shared-use paths or trails-Bridge 1.0000000
## T-intersection-Bridge 0.0000001
## Traffic circle/roundabout-Bridge 0.9999990
## Underpass-Bridge 0.9999998
## Y-intersection-Bridge 1.0000000
## Driveway, private-Bridge approach 1.0000000
## Driveway, public-Bridge approach 0.0000001
## End or beginning-divided highway-Bridge approach 1.0000000
## Five point, or more-Bridge approach 1.0000000
## Four-way intersection-Bridge approach 0.0000000
## Merge lane between on and off ramp-Bridge approach 1.0000000
## No Special Feature-Bridge approach 0.0000000
## Non-intersection median crossing-Bridge approach 1.0000000
## Off-ramp entry-Bridge approach 1.0000000
## Off-ramp proper-Bridge approach 1.0000000
## Off-ramp terminal on crossroad-Bridge approach 1.0000000
## On-ramp entry-Bridge approach 1.0000000
## On-ramp proper-Bridge approach 1.0000000
## On-ramp terminal on crossroad-Bridge approach 1.0000000
## Other-Bridge approach 1.0000000
## Railroad crossing-Bridge approach 1.0000000
## Related to intersection-Bridge approach 0.9999964
## Shared-use paths or trails-Bridge approach 1.0000000
## T-intersection-Bridge approach 0.0010312
## Traffic circle/roundabout-Bridge approach 1.0000000
## Underpass-Bridge approach 1.0000000
## Y-intersection-Bridge approach 1.0000000
## Driveway, public-Driveway, private 0.0000000
## End or beginning-divided highway-Driveway, private 1.0000000
## Five point, or more-Driveway, private 1.0000000
## Four-way intersection-Driveway, private 0.0000000
## Merge lane between on and off ramp-Driveway, private 1.0000000
## No Special Feature-Driveway, private 0.0000000
## Non-intersection median crossing-Driveway, private 1.0000000
## Off-ramp entry-Driveway, private 1.0000000
## Off-ramp proper-Driveway, private 1.0000000
## Off-ramp terminal on crossroad-Driveway, private 1.0000000
## On-ramp entry-Driveway, private 1.0000000
## On-ramp proper-Driveway, private 1.0000000
## On-ramp terminal on crossroad-Driveway, private 1.0000000
## Other-Driveway, private 1.0000000
## Railroad crossing-Driveway, private 1.0000000
## Related to intersection-Driveway, private 0.9999990
## Shared-use paths or trails-Driveway, private 1.0000000
## T-intersection-Driveway, private 0.0000000
## Traffic circle/roundabout-Driveway, private 1.0000000
## Underpass-Driveway, private 1.0000000
## Y-intersection-Driveway, private 1.0000000
## End or beginning-divided highway-Driveway, public 0.8168373
## Five point, or more-Driveway, public 0.0050911
## Four-way intersection-Driveway, public 0.0000000
## Merge lane between on and off ramp-Driveway, public 0.0000000
## No Special Feature-Driveway, public 0.0000000
## Non-intersection median crossing-Driveway, public 0.0004964
## Off-ramp entry-Driveway, public 0.0000000
## Off-ramp proper-Driveway, public 0.0000000
## Off-ramp terminal on crossroad-Driveway, public 0.0000000
## On-ramp entry-Driveway, public 0.0000000
## On-ramp proper-Driveway, public 0.0000000
## On-ramp terminal on crossroad-Driveway, public 0.0000001
## Other-Driveway, public 0.0000000
## Railroad crossing-Driveway, public 0.7795222
## Related to intersection-Driveway, public 0.0000000
## Shared-use paths or trails-Driveway, public 0.9743984
## T-intersection-Driveway, public 0.0001571
## Traffic circle/roundabout-Driveway, public 0.0000000
## Underpass-Driveway, public 0.0000000
## Y-intersection-Driveway, public 0.0000000
## Five point, or more-End or beginning-divided highway 1.0000000
## Four-way intersection-End or beginning-divided highway 0.0153932
## Merge lane between on and off ramp-End or beginning-divided highway 1.0000000
## No Special Feature-End or beginning-divided highway 0.0000000
## Non-intersection median crossing-End or beginning-divided highway 1.0000000
## Off-ramp entry-End or beginning-divided highway 1.0000000
## Off-ramp proper-End or beginning-divided highway 1.0000000
## Off-ramp terminal on crossroad-End or beginning-divided highway 1.0000000
## On-ramp entry-End or beginning-divided highway 1.0000000
## On-ramp proper-End or beginning-divided highway 1.0000000
## On-ramp terminal on crossroad-End or beginning-divided highway 1.0000000
## Other-End or beginning-divided highway 1.0000000
## Railroad crossing-End or beginning-divided highway 1.0000000
## Related to intersection-End or beginning-divided highway 1.0000000
## Shared-use paths or trails-End or beginning-divided highway 1.0000000
## T-intersection-End or beginning-divided highway 0.9948332
## Traffic circle/roundabout-End or beginning-divided highway 1.0000000
## Underpass-End or beginning-divided highway 1.0000000
## Y-intersection-End or beginning-divided highway 1.0000000
## Four-way intersection-Five point, or more 0.0000000
## Merge lane between on and off ramp-Five point, or more 1.0000000
## No Special Feature-Five point, or more 0.0000000
## Non-intersection median crossing-Five point, or more 1.0000000
## Off-ramp entry-Five point, or more 1.0000000
## Off-ramp proper-Five point, or more 1.0000000
## Off-ramp terminal on crossroad-Five point, or more 1.0000000
## On-ramp entry-Five point, or more 1.0000000
## On-ramp proper-Five point, or more 1.0000000
## On-ramp terminal on crossroad-Five point, or more 1.0000000
## Other-Five point, or more 1.0000000
## Railroad crossing-Five point, or more 1.0000000
## Related to intersection-Five point, or more 1.0000000
## Shared-use paths or trails-Five point, or more 1.0000000
## T-intersection-Five point, or more 0.3169165
## Traffic circle/roundabout-Five point, or more 1.0000000
## Underpass-Five point, or more 1.0000000
## Y-intersection-Five point, or more 1.0000000
## Merge lane between on and off ramp-Four-way intersection 0.0000000
## No Special Feature-Four-way intersection 0.0000000
## Non-intersection median crossing-Four-way intersection 0.0000000
## Off-ramp entry-Four-way intersection 0.0000000
## Off-ramp proper-Four-way intersection 0.0000000
## Off-ramp terminal on crossroad-Four-way intersection 0.0000000
## On-ramp entry-Four-way intersection 0.0000000
## On-ramp proper-Four-way intersection 0.0000000
## On-ramp terminal on crossroad-Four-way intersection 0.0000000
## Other-Four-way intersection 0.0000000
## Railroad crossing-Four-way intersection 0.0086226
## Related to intersection-Four-way intersection 0.0000000
## Shared-use paths or trails-Four-way intersection 0.1659878
## T-intersection-Four-way intersection 0.0000000
## Traffic circle/roundabout-Four-way intersection 0.0000000
## Underpass-Four-way intersection 0.0000000
## Y-intersection-Four-way intersection 0.0000000
## No Special Feature-Merge lane between on and off ramp 0.0000000
## Non-intersection median crossing-Merge lane between on and off ramp 1.0000000
## Off-ramp entry-Merge lane between on and off ramp 1.0000000
## Off-ramp proper-Merge lane between on and off ramp 1.0000000
## Off-ramp terminal on crossroad-Merge lane between on and off ramp 1.0000000
## On-ramp entry-Merge lane between on and off ramp 1.0000000
## On-ramp proper-Merge lane between on and off ramp 1.0000000
## On-ramp terminal on crossroad-Merge lane between on and off ramp 1.0000000
## Other-Merge lane between on and off ramp 1.0000000
## Railroad crossing-Merge lane between on and off ramp 1.0000000
## Related to intersection-Merge lane between on and off ramp 0.9999988
## Shared-use paths or trails-Merge lane between on and off ramp 1.0000000
## T-intersection-Merge lane between on and off ramp 0.0001059
## Traffic circle/roundabout-Merge lane between on and off ramp 1.0000000
## Underpass-Merge lane between on and off ramp 1.0000000
## Y-intersection-Merge lane between on and off ramp 1.0000000
## Non-intersection median crossing-No Special Feature 0.0000000
## Off-ramp entry-No Special Feature 0.0000000
## Off-ramp proper-No Special Feature 0.0000000
## Off-ramp terminal on crossroad-No Special Feature 0.0000000
## On-ramp entry-No Special Feature 0.0000000
## On-ramp proper-No Special Feature 0.0000000
## On-ramp terminal on crossroad-No Special Feature 0.0000000
## Other-No Special Feature 0.0000000
## Railroad crossing-No Special Feature 0.0000000
## Related to intersection-No Special Feature 0.0000000
## Shared-use paths or trails-No Special Feature 0.0000000
## T-intersection-No Special Feature 0.0000000
## Traffic circle/roundabout-No Special Feature 0.0000000
## Underpass-No Special Feature 0.0000000
## Y-intersection-No Special Feature 0.0000000
## Off-ramp entry-Non-intersection median crossing 1.0000000
## Off-ramp proper-Non-intersection median crossing 1.0000000
## Off-ramp terminal on crossroad-Non-intersection median crossing 1.0000000
## On-ramp entry-Non-intersection median crossing 1.0000000
## On-ramp proper-Non-intersection median crossing 1.0000000
## On-ramp terminal on crossroad-Non-intersection median crossing 1.0000000
## Other-Non-intersection median crossing 1.0000000
## Railroad crossing-Non-intersection median crossing 1.0000000
## Related to intersection-Non-intersection median crossing 1.0000000
## Shared-use paths or trails-Non-intersection median crossing 1.0000000
## T-intersection-Non-intersection median crossing 0.1501082
## Traffic circle/roundabout-Non-intersection median crossing 1.0000000
## Underpass-Non-intersection median crossing 1.0000000
## Y-intersection-Non-intersection median crossing 1.0000000
## Off-ramp proper-Off-ramp entry 1.0000000
## Off-ramp terminal on crossroad-Off-ramp entry 1.0000000
## On-ramp entry-Off-ramp entry 1.0000000
## On-ramp proper-Off-ramp entry 1.0000000
## On-ramp terminal on crossroad-Off-ramp entry 1.0000000
## Other-Off-ramp entry 1.0000000
## Railroad crossing-Off-ramp entry 1.0000000
## Related to intersection-Off-ramp entry 0.9999994
## Shared-use paths or trails-Off-ramp entry 1.0000000
## T-intersection-Off-ramp entry 0.0000000
## Traffic circle/roundabout-Off-ramp entry 1.0000000
## Underpass-Off-ramp entry 1.0000000
## Y-intersection-Off-ramp entry 1.0000000
## Off-ramp terminal on crossroad-Off-ramp proper 1.0000000
## On-ramp entry-Off-ramp proper 1.0000000
## On-ramp proper-Off-ramp proper 1.0000000
## On-ramp terminal on crossroad-Off-ramp proper 1.0000000
## Other-Off-ramp proper 1.0000000
## Railroad crossing-Off-ramp proper 1.0000000
## Related to intersection-Off-ramp proper 0.9999984
## Shared-use paths or trails-Off-ramp proper 1.0000000
## T-intersection-Off-ramp proper 0.0000000
## Traffic circle/roundabout-Off-ramp proper 1.0000000
## Underpass-Off-ramp proper 1.0000000
## Y-intersection-Off-ramp proper 1.0000000
## On-ramp entry-Off-ramp terminal on crossroad 1.0000000
## On-ramp proper-Off-ramp terminal on crossroad 1.0000000
## On-ramp terminal on crossroad-Off-ramp terminal on crossroad 1.0000000
## Other-Off-ramp terminal on crossroad 1.0000000
## Railroad crossing-Off-ramp terminal on crossroad 1.0000000
## Related to intersection-Off-ramp terminal on crossroad 0.9999993
## Shared-use paths or trails-Off-ramp terminal on crossroad 1.0000000
## T-intersection-Off-ramp terminal on crossroad 0.0000000
## Traffic circle/roundabout-Off-ramp terminal on crossroad 1.0000000
## Underpass-Off-ramp terminal on crossroad 1.0000000
## Y-intersection-Off-ramp terminal on crossroad 1.0000000
## On-ramp proper-On-ramp entry 1.0000000
## On-ramp terminal on crossroad-On-ramp entry 1.0000000
## Other-On-ramp entry 1.0000000
## Railroad crossing-On-ramp entry 1.0000000
## Related to intersection-On-ramp entry 0.9999298
## Shared-use paths or trails-On-ramp entry 1.0000000
## T-intersection-On-ramp entry 0.0000000
## Traffic circle/roundabout-On-ramp entry 1.0000000
## Underpass-On-ramp entry 1.0000000
## Y-intersection-On-ramp entry 1.0000000
## On-ramp terminal on crossroad-On-ramp proper 1.0000000
## Other-On-ramp proper 1.0000000
## Railroad crossing-On-ramp proper 1.0000000
## Related to intersection-On-ramp proper 0.9994958
## Shared-use paths or trails-On-ramp proper 1.0000000
## T-intersection-On-ramp proper 0.0000001
## Traffic circle/roundabout-On-ramp proper 1.0000000
## Underpass-On-ramp proper 1.0000000
## Y-intersection-On-ramp proper 1.0000000
## Other-On-ramp terminal on crossroad 1.0000000
## Railroad crossing-On-ramp terminal on crossroad 1.0000000
## Related to intersection-On-ramp terminal on crossroad 0.9999980
## Shared-use paths or trails-On-ramp terminal on crossroad 1.0000000
## T-intersection-On-ramp terminal on crossroad 0.0012074
## Traffic circle/roundabout-On-ramp terminal on crossroad 1.0000000
## Underpass-On-ramp terminal on crossroad 1.0000000
## Y-intersection-On-ramp terminal on crossroad 1.0000000
## Railroad crossing-Other 1.0000000
## Related to intersection-Other 0.9997476
## Shared-use paths or trails-Other 1.0000000
## T-intersection-Other 0.0000000
## Traffic circle/roundabout-Other 1.0000000
## Underpass-Other 1.0000000
## Y-intersection-Other 1.0000000
## Related to intersection-Railroad crossing 1.0000000
## Shared-use paths or trails-Railroad crossing 1.0000000
## T-intersection-Railroad crossing 0.9937345
## Traffic circle/roundabout-Railroad crossing 1.0000000
## Underpass-Railroad crossing 1.0000000
## Y-intersection-Railroad crossing 1.0000000
## Shared-use paths or trails-Related to intersection 1.0000000
## T-intersection-Related to intersection 0.0000000
## Traffic circle/roundabout-Related to intersection 0.9998720
## Underpass-Related to intersection 0.9999413
## Y-intersection-Related to intersection 0.9999989
## T-intersection-Shared-use paths or trails 0.9997692
## Traffic circle/roundabout-Shared-use paths or trails 1.0000000
## Underpass-Shared-use paths or trails 1.0000000
## Y-intersection-Shared-use paths or trails 1.0000000
## Traffic circle/roundabout-T-intersection 0.0000023
## Underpass-T-intersection 0.0000003
## Y-intersection-T-intersection 0.0002258
## Underpass-Traffic circle/roundabout 1.0000000
## Y-intersection-Traffic circle/roundabout 1.0000000
## Y-intersection-Underpass 1.0000000Is there a significant difference between the amount of crashes per each alcohol result type?
crashes_alcohol= crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(AlcoholResultType != "Unknown", AlcoholResultType != "NA") %>%
group_by(Date, AlcoholResultType) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_alcohol = aov(count ~ AlcoholResultType, data = crashes_alcohol)
summary(anova_alcohol)## Df Sum Sq Mean Sq F value Pr(>F)
## AlcoholResultType 6 13089255 2181543 3104 <2e-16 ***
## Residuals 6514 4578031 703
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_alcohol)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ AlcoholResultType, data = crashes_alcohol)
##
## $AlcoholResultType
## diff
## Alcohol (percent BAC)- -4.931582e+01
## Contaminated sample/unusable- -4.982957e+01
## No alcohol or other drugs- -4.980996e+01
## No test- 6.229399e+01
## Other drugs reported- -4.982957e+01
## Pending- -4.951033e+01
## Contaminated sample/unusable-Alcohol (percent BAC) -5.137525e-01
## No alcohol or other drugs-Alcohol (percent BAC) -4.941446e-01
## No test-Alcohol (percent BAC) 1.116098e+02
## Other drugs reported-Alcohol (percent BAC) -5.137525e-01
## Pending-Alcohol (percent BAC) -1.945164e-01
## No alcohol or other drugs-Contaminated sample/unusable 1.960784e-02
## No test-Contaminated sample/unusable 1.121236e+02
## Other drugs reported-Contaminated sample/unusable -1.534772e-11
## Pending-Contaminated sample/unusable 3.192360e-01
## No test-No alcohol or other drugs 1.121040e+02
## Other drugs reported-No alcohol or other drugs -1.960784e-02
## Pending-No alcohol or other drugs 2.996282e-01
## Other drugs reported-No test -1.121236e+02
## Pending-No test -1.118043e+02
## Pending-Other drugs reported 3.192360e-01
## lwr upr
## Alcohol (percent BAC)- -52.250008 -46.381626
## Contaminated sample/unusable- -105.138625 5.479486
## No alcohol or other drugs- -60.876435 -38.743489
## No test- 60.011629 64.576355
## Other drugs reported- -66.212062 -33.447077
## Pending- -52.818544 -46.202123
## Contaminated sample/unusable-Alcohol (percent BAC) -55.853538 54.826033
## No alcohol or other drugs-Alcohol (percent BAC) -11.713196 10.724907
## No test-Alcohol (percent BAC) 108.675619 114.544000
## Other drugs reported-Alcohol (percent BAC) -16.999697 15.972192
## Pending-Alcohol (percent BAC) -3.981936 3.592904
## No alcohol or other drugs-Contaminated sample/unusable -56.339502 56.378717
## No test-Contaminated sample/unusable 56.814507 167.432617
## Other drugs reported-Contaminated sample/unusable -57.639123 57.639123
## Pending-Contaminated sample/unusable -55.041641 55.680113
## No test-No alcohol or other drugs 101.037481 123.170427
## Other drugs reported-No alcohol or other drugs -19.657421 19.618206
## Pending-No alcohol or other drugs -11.023000 11.622256
## Other drugs reported-No test -128.506055 -95.741069
## Pending-No test -115.112536 -108.496116
## Pending-Other drugs reported -16.237368 16.875840
## p adj
## Alcohol (percent BAC)- 0.0000000
## Contaminated sample/unusable- 0.1095675
## No alcohol or other drugs- 0.0000000
## No test- 0.0000000
## Other drugs reported- 0.0000000
## Pending- 0.0000000
## Contaminated sample/unusable-Alcohol (percent BAC) 1.0000000
## No alcohol or other drugs-Alcohol (percent BAC) 0.9999996
## No test-Alcohol (percent BAC) 0.0000000
## Other drugs reported-Alcohol (percent BAC) 0.9999999
## Pending-Alcohol (percent BAC) 0.9999990
## No alcohol or other drugs-Contaminated sample/unusable 1.0000000
## No test-Contaminated sample/unusable 0.0000000
## Other drugs reported-Contaminated sample/unusable 1.0000000
## Pending-Contaminated sample/unusable 1.0000000
## No test-No alcohol or other drugs 0.0000000
## Other drugs reported-No alcohol or other drugs 1.0000000
## Pending-No alcohol or other drugs 1.0000000
## Other drugs reported-No test 0.0000000
## Pending-No test 0.0000000
## Pending-Other drugs reported 1.0000000Is there a significant difference between the amount of crashes per each month?
crashes_month = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(Crash_Date_Month != "Unknown", Crash_Date_Month != "NA") %>%
group_by(Date, Crash_Date_Month) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_month = aov(count ~ Crash_Date_Month, data = crashes_month)
summary(anova_month)## Df Sum Sq Mean Sq F value Pr(>F)
## Crash_Date_Month 11 256322 23302 7.209 3.35e-12 ***
## Residuals 2392 7731771 3232
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_month)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ Crash_Date_Month, data = crashes_month)
##
## $Crash_Date_Month
## diff lwr upr p adj
## August-April 13.6997770 -4.772870 32.17242362 0.3885855
## December-April 19.3489917 0.876345 37.82163828 0.0305358
## February-April 7.5958606 -10.561728 25.75344878 0.9693323
## January-April -2.2010048 -19.956322 15.55431216 0.9999997
## July-April 0.2652220 -18.207425 18.73786865 1.0000000
## June-April 1.7834334 -16.847513 20.41438013 1.0000000
## March-April 1.4131632 -16.361819 19.18814515 1.0000000
## May-April 2.9082492 -14.906533 20.72303088 0.9999952
## November-April 23.7347848 5.103838 42.36573148 0.0018930
## October-April 31.6474210 13.174774 50.12006760 0.0000015
## September-April 12.6753253 -5.955621 31.30627202 0.5309843
## December-August 5.6492147 -13.382319 24.68074848 0.9982513
## February-August -6.1039164 -24.829797 12.62196448 0.9959697
## January-August -15.9007818 -34.236863 2.43529975 0.1652647
## July-August -13.4345550 -32.466089 5.59697885 0.4701429
## June-August -11.9163436 -31.101567 7.26887943 0.6714751
## March-August -12.2866138 -30.641738 6.06851054 0.5572943
## May-August -10.7915278 -29.185197 7.60214102 0.7472507
## November-August 10.0350078 -9.150215 29.22023078 0.8634162
## October-August 17.9476440 -1.083890 36.97917780 0.0864152
## September-August -1.0244517 -20.209675 18.16077132 1.0000000
## February-December -11.7531311 -30.479012 6.97274982 0.6564296
## January-December -21.5499965 -39.886078 -3.21391491 0.0069044
## July-December -19.0837696 -38.115303 -0.05223581 0.0486378
## June-December -17.5655582 -36.750781 1.61966477 0.1104807
## March-December -17.9358285 -36.290953 0.41929588 0.0626452
## May-December -16.4407425 -34.834411 1.95292636 0.1330429
## November-December 4.3857931 -14.799430 23.57101612 0.9998537
## October-December 12.2984293 -6.733104 31.32996314 0.6127611
## September-December -6.6736663 -25.858889 12.51155666 0.9929542
## January-February -9.7968654 -27.815501 8.22177008 0.8297806
## July-February -7.3306385 -26.056519 11.39524238 0.9815400
## June-February -5.8124271 -24.694485 13.06963097 0.9975715
## March-February -6.1826974 -24.220711 11.85531601 0.9937830
## May-February -4.6876114 -22.764845 13.38962264 0.9995037
## November-February 16.1389242 -2.743134 35.02098232 0.1821578
## October-February 24.0515604 5.325679 42.77744133 0.0016387
## September-February 5.0794648 -13.802593 23.96152286 0.9992973
## July-January 2.4662268 -15.869855 20.80230841 0.9999994
## June-January 3.9844382 -14.511112 22.47998877 0.9999187
## March-January 3.6141680 -14.018846 21.24718244 0.9999506
## May-January 5.1092540 -12.563880 22.78238788 0.9986265
## November-January 25.9357896 7.440239 44.43134012 0.0002949
## October-January 33.8484258 15.512344 52.18450737 0.0000001
## September-January 14.8763301 -3.619220 33.37188066 0.2626764
## June-July 1.5182114 -17.667012 20.70343440 1.0000000
## March-July 1.1479411 -17.207183 19.50306552 1.0000000
## May-July 2.6430271 -15.750642 21.03669599 0.9999987
## November-July 23.4695628 4.284340 42.65478575 0.0037338
## October-July 31.3821990 12.350665 50.41373277 0.0000049
## September-July 12.4101033 -6.775120 31.59532629 0.6112297
## March-June -0.3702703 -18.884700 18.14415905 1.0000000
## May-June 1.1248157 -17.427827 19.67745856 1.0000000
## November-June 21.9513514 2.613661 41.28904209 0.0112753
## October-June 29.8639875 10.678765 49.04921054 0.0000246
## September-June 10.8918919 -8.445799 30.22958263 0.7942234
## May-March 1.4950860 -16.197804 19.18797626 1.0000000
## November-March 22.3216216 3.807192 40.83605094 0.0046979
## October-March 30.2342578 11.879133 48.58938220 0.0000051
## September-March 11.2621622 -7.252267 29.77659148 0.7005106
## November-May 20.8265356 2.273893 39.37917846 0.0130943
## October-May 28.7391718 10.345503 47.13284069 0.0000223
## September-May 9.7670762 -8.785567 28.31971900 0.8581789
## October-November 7.9126362 -11.272587 27.09785919 0.9724270
## September-November -11.0594595 -30.397150 8.27823128 0.7773790
## September-October -18.9720957 -38.157319 0.21312734 0.0558494Is there a significant difference between the amount of crashes per each airbag deploy?
crashes_airbag = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(AirbagDeployed != "Unknown", AirbagDeployed != "NA") %>%
group_by(Date, AirbagDeployed) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_airbag = aov(count ~ AirbagDeployed, data = crashes_airbag)
summary(anova_airbag)## Df Sum Sq Mean Sq F value Pr(>F)
## AirbagDeployed 5 26824461 5364892 14435 <2e-16 ***
## Residuals 12993 4828876 372
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_airbag)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ AirbagDeployed, data = crashes_airbag)
##
## $AirbagDeployed
## diff lwr upr
## Deployed both front and side- -10.866760 -12.574753 -9.158766
## Deployed front- -5.959516 -7.568467 -4.350566
## Deployed side- -11.496703 -13.211207 -9.782199
## No Air Bag(s)- -3.967805 -5.579382 -2.356227
## Not deployed- 111.653065 110.048599 113.257531
## Deployed front-Deployed both front and side 4.907243 3.195518 6.618969
## Deployed side-Deployed both front and side -0.629943 -2.441243 1.181357
## No Air Bag(s)-Deployed both front and side 6.898955 5.184760 8.613150
## Not deployed-Deployed both front and side 122.519825 120.812314 124.227336
## Deployed side-Deployed front -5.537186 -7.255408 -3.818964
## No Air Bag(s)-Deployed front 1.991712 0.376179 3.607244
## Not deployed-Deployed front 117.612582 116.004143 119.221020
## No Air Bag(s)-Deployed side 7.528898 5.808216 9.249580
## Not deployed-Deployed side 123.149768 121.435744 124.863792
## Not deployed-No Air Bag(s) 115.620870 114.009803 117.231937
## p adj
## Deployed both front and side- 0.0000000
## Deployed front- 0.0000000
## Deployed side- 0.0000000
## No Air Bag(s)- 0.0000000
## Not deployed- 0.0000000
## Deployed front-Deployed both front and side 0.0000000
## Deployed side-Deployed both front and side 0.9209063
## No Air Bag(s)-Deployed both front and side 0.0000000
## Not deployed-Deployed both front and side 0.0000000
## Deployed side-Deployed front 0.0000000
## No Air Bag(s)-Deployed front 0.0059146
## Not deployed-Deployed front 0.0000000
## No Air Bag(s)-Deployed side 0.0000000
## Not deployed-Deployed side 0.0000000
## Not deployed-No Air Bag(s) 0.0000000Is there a significant difference between the amount of crashes per each protection?
crashes_protection = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(Protection != "Unknown", Protection != "NA",
Protection != "Unable to determine") %>%
group_by(Date, Protection) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_protection = aov(count ~ Protection, data = crashes_protection)
summary(anova_protection)## Df Sum Sq Mean Sq F value Pr(>F)
## Protection 10 29499892 2949989 7577 <2e-16 ***
## Residuals 12575 4895868 389
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_protection)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ Protection, data = crashes_protection)
##
## $Protection
## diff
## Child Restraint- -9.30645614
## Helmet (Motorcyclist or Non-Motorist)- -13.39640634
## Lap belt only- -12.74690579
## Lighting- -13.62353053
## None used- -8.18641373
## Other*- -12.93278405
## Protective pads- -13.73464164
## Reflective clothing- -13.64089164
## Shoulder and lap belt- 115.63961241
## Shoulder belt only- -12.92298623
## Helmet (Motorcyclist or Non-Motorist)-Child Restraint -4.08995021
## Lap belt only-Child Restraint -3.44044965
## Lighting-Child Restraint -4.31707439
## None used-Child Restraint 1.12004240
## Other*-Child Restraint -3.62632792
## Protective pads-Child Restraint -4.42818550
## Reflective clothing-Child Restraint -4.33443550
## Shoulder and lap belt-Child Restraint 124.94606855
## Shoulder belt only-Child Restraint -3.61653010
## Lap belt only-Helmet (Motorcyclist or Non-Motorist) 0.64950055
## Lighting-Helmet (Motorcyclist or Non-Motorist) -0.22712418
## None used-Helmet (Motorcyclist or Non-Motorist) 5.20999261
## Other*-Helmet (Motorcyclist or Non-Motorist) 0.46362229
## Protective pads-Helmet (Motorcyclist or Non-Motorist) -0.33823529
## Reflective clothing-Helmet (Motorcyclist or Non-Motorist) -0.24448529
## Shoulder and lap belt-Helmet (Motorcyclist or Non-Motorist) 129.03601876
## Shoulder belt only-Helmet (Motorcyclist or Non-Motorist) 0.47342011
## Lighting-Lap belt only -0.87662474
## None used-Lap belt only 4.56049206
## Other*-Lap belt only -0.18587826
## Protective pads-Lap belt only -0.98773585
## Reflective clothing-Lap belt only -0.89398585
## Shoulder and lap belt-Lap belt only 128.38651820
## Shoulder belt only-Lap belt only -0.17608044
## None used-Lighting 5.43711679
## Other*-Lighting 0.69074647
## Protective pads-Lighting -0.11111111
## Reflective clothing-Lighting -0.01736111
## Shoulder and lap belt-Lighting 129.26314294
## Shoulder belt only-Lighting 0.70054429
## Other*-None used -4.74637032
## Protective pads-None used -5.54822790
## Reflective clothing-None used -5.45447790
## Shoulder and lap belt-None used 123.82602614
## Shoulder belt only-None used -4.73657250
## Protective pads-Other* -0.80185759
## Reflective clothing-Other* -0.70810759
## Shoulder and lap belt-Other* 128.57239646
## Shoulder belt only-Other* 0.00979782
## Reflective clothing-Protective pads 0.09375000
## Shoulder and lap belt-Protective pads 129.37425405
## Shoulder belt only-Protective pads 0.81165541
## Shoulder and lap belt-Reflective clothing 129.28050405
## Shoulder belt only-Reflective clothing 0.71790541
## Shoulder belt only-Shoulder and lap belt -128.56259864
## lwr
## Child Restraint- -11.1874311
## Helmet (Motorcyclist or Non-Motorist)- -15.9782822
## Lap belt only- -15.0980471
## Lighting- -34.8377277
## None used- -10.0656546
## Other*- -16.7028343
## Protective pads- -27.3407186
## Reflective clothing- -24.9462705
## Shoulder and lap belt- 113.7845467
## Shoulder belt only- -15.1877626
## Helmet (Motorcyclist or Non-Motorist)-Child Restraint -6.6902219
## Lap belt only-Child Restraint -5.8117775
## Lighting-Child Restraint -25.5335183
## None used-Child Restraint -0.7843936
## Other*-Child Restraint -7.4090001
## Protective pads-Child Restraint -18.0377652
## Reflective clothing-Child Restraint -15.6440297
## Shoulder and lap belt-Child Restraint 123.0654838
## Shoulder belt only-Child Restraint -5.9022559
## Lap belt only-Helmet (Motorcyclist or Non-Motorist) -2.3087442
## Lighting-Helmet (Motorcyclist or Non-Motorist) -21.5171572
## None used-Helmet (Motorcyclist or Non-Motorist) 2.6109750
## Other*-Helmet (Motorcyclist or Non-Motorist) -3.7120962
## Protective pads-Helmet (Motorcyclist or Non-Motorist) -14.0622535
## Reflective clothing-Helmet (Motorcyclist or Non-Motorist) -11.6915346
## Shoulder and lap belt-Helmet (Motorcyclist or Non-Motorist) 126.4544271
## Shoulder belt only-Helmet (Motorcyclist or Non-Motorist) -2.4166592
## Lighting-Lap belt only -22.1399098
## None used-Lap belt only 2.1905394
## Other*-Lap belt only -4.2230069
## Protective pads-Lap belt only -14.6702231
## Reflective clothing-Lap belt only -12.2912101
## Shoulder and lap belt-Lap belt only 126.0356890
## Shoulder belt only-Lap belt only -2.8620330
## None used-Lighting -15.7791734
## Other*-Lighting -20.7758020
## Protective pads-Lighting -25.2452463
## Reflective clothing-Lighting -23.9842344
## Shoulder and lap belt-Lighting 108.0489804
## Shoulder belt only-Lighting -20.5533645
## Other*-None used -8.5281806
## Protective pads-None used -19.1575680
## Reflective clothing-None used -16.7637839
## Shoulder and lap belt-None used 121.9471757
## Shoulder belt only-None used -7.0208715
## Protective pads-Other* -14.7981382
## Reflective clothing-Other* -12.4801989
## Shoulder and lap belt-Other* 124.8025408
## Shoulder belt only-Other* -3.9776518
## Reflective clothing-Protective pads -17.4986968
## Shoulder and lap belt-Protective pads 115.7682311
## Shoulder belt only-Protective pads -12.8562561
## Shoulder and lap belt-Reflective clothing 117.9751901
## Shoulder belt only-Reflective clothing -10.6618163
## Shoulder belt only-Shoulder and lap belt -130.8270510
## upr
## Child Restraint- -7.4254812
## Helmet (Motorcyclist or Non-Motorist)- -10.8145305
## Lap belt only- -10.3957645
## Lighting- 7.5906666
## None used- -6.3071728
## Other*- -9.1627338
## Protective pads- -0.1285647
## Reflective clothing- -2.3355128
## Shoulder and lap belt- 117.4946782
## Shoulder belt only- -10.6582098
## Helmet (Motorcyclist or Non-Motorist)-Child Restraint -1.4896785
## Lap belt only-Child Restraint -1.0691218
## Lighting-Child Restraint 16.8993695
## None used-Child Restraint 3.0244784
## Other*-Child Restraint 0.1563443
## Protective pads-Child Restraint 9.1813942
## Reflective clothing-Child Restraint 6.9751587
## Shoulder and lap belt-Child Restraint 126.8266533
## Shoulder belt only-Child Restraint -1.3308043
## Lap belt only-Helmet (Motorcyclist or Non-Motorist) 3.6077453
## Lighting-Helmet (Motorcyclist or Non-Motorist) 21.0629089
## None used-Helmet (Motorcyclist or Non-Motorist) 7.8090103
## Other*-Helmet (Motorcyclist or Non-Motorist) 4.6393408
## Protective pads-Helmet (Motorcyclist or Non-Motorist) 13.3857829
## Reflective clothing-Helmet (Motorcyclist or Non-Motorist) 11.2025640
## Shoulder and lap belt-Helmet (Motorcyclist or Non-Motorist) 131.6176104
## Shoulder belt only-Helmet (Motorcyclist or Non-Motorist) 3.3634994
## Lighting-Lap belt only 20.3866603
## None used-Lap belt only 6.9304447
## Other*-Lap belt only 3.8512504
## Protective pads-Lap belt only 12.6947514
## Reflective clothing-Lap belt only 10.5032384
## Shoulder and lap belt-Lap belt only 130.7373474
## Shoulder belt only-Lap belt only 2.5098721
## None used-Lighting 26.6534070
## Other*-Lighting 22.1572950
## Protective pads-Lighting 25.0230241
## Reflective clothing-Lighting 23.9495122
## Shoulder and lap belt-Lighting 150.4773055
## Shoulder belt only-Lighting 21.9544530
## Other*-None used -0.9645601
## Protective pads-None used 8.0611122
## Reflective clothing-None used 5.8548281
## Shoulder and lap belt-None used 125.7048766
## Shoulder belt only-None used -2.4522735
## Protective pads-Other* 13.1944230
## Reflective clothing-Other* 11.0639837
## Shoulder and lap belt-Other* 132.3422521
## Shoulder belt only-Other* 3.9972474
## Reflective clothing-Protective pads 17.6861968
## Shoulder and lap belt-Protective pads 142.9802770
## Shoulder belt only-Protective pads 14.4795669
## Shoulder and lap belt-Reflective clothing 140.5858180
## Shoulder belt only-Reflective clothing 12.0976271
## Shoulder belt only-Shoulder and lap belt -126.2981463
## p adj
## Child Restraint- 0.0000000
## Helmet (Motorcyclist or Non-Motorist)- 0.0000000
## Lap belt only- 0.0000000
## Lighting- 0.6009178
## None used- 0.0000000
## Other*- 0.0000000
## Protective pads- 0.0455434
## Reflective clothing- 0.0049147
## Shoulder and lap belt- 0.0000000
## Shoulder belt only- 0.0000000
## Helmet (Motorcyclist or Non-Motorist)-Child Restraint 0.0000225
## Lap belt only-Child Restraint 0.0001598
## Lighting-Child Restraint 0.9998960
## None used-Child Restraint 0.7219609
## Other*-Child Restraint 0.0740714
## Protective pads-Child Restraint 0.9939221
## Reflective clothing-Child Restraint 0.9787243
## Shoulder and lap belt-Child Restraint 0.0000000
## Shoulder belt only-Child Restraint 0.0000192
## Lap belt only-Helmet (Motorcyclist or Non-Motorist) 0.9997919
## Lighting-Helmet (Motorcyclist or Non-Motorist) 1.0000000
## None used-Helmet (Motorcyclist or Non-Motorist) 0.0000000
## Other*-Helmet (Motorcyclist or Non-Motorist) 0.9999997
## Protective pads-Helmet (Motorcyclist or Non-Motorist) 1.0000000
## Reflective clothing-Helmet (Motorcyclist or Non-Motorist) 1.0000000
## Shoulder and lap belt-Helmet (Motorcyclist or Non-Motorist) 0.0000000
## Shoulder belt only-Helmet (Motorcyclist or Non-Motorist) 0.9999862
## Lighting-Lap belt only 1.0000000
## None used-Lap belt only 0.0000000
## Other*-Lap belt only 1.0000000
## Protective pads-Lap belt only 1.0000000
## Reflective clothing-Lap belt only 1.0000000
## Shoulder and lap belt-Lap belt only 0.0000000
## Shoulder belt only-Lap belt only 1.0000000
## None used-Lighting 0.9991774
## Other*-Lighting 1.0000000
## Protective pads-Lighting 1.0000000
## Reflective clothing-Lighting 1.0000000
## Shoulder and lap belt-Lighting 0.0000000
## Shoulder belt only-Lighting 1.0000000
## Other*-None used 0.0026334
## Protective pads-None used 0.9669451
## Reflective clothing-None used 0.9016902
## Shoulder and lap belt-None used 0.0000000
## Shoulder belt only-None used 0.0000000
## Protective pads-Other* 1.0000000
## Reflective clothing-Other* 1.0000000
## Shoulder and lap belt-Other* 0.0000000
## Shoulder belt only-Other* 1.0000000
## Reflective clothing-Protective pads 1.0000000
## Shoulder and lap belt-Protective pads 0.0000000
## Shoulder belt only-Protective pads 1.0000000
## Shoulder and lap belt-Reflective clothing 0.0000000
## Shoulder belt only-Reflective clothing 1.0000000
## Shoulder belt only-Shoulder and lap belt 0.0000000Is there a significant difference between the amount of crashes per each contributing circumstance?
crashes_contributing = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(ContributingCircumstance1 != "Unknown",
ContributingCircumstance1 != "NA") %>%
group_by(Date, ContributingCircumstance1) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_contributing = aov(count ~ ContributingCircumstance1,
data = crashes_contributing)
summary(anova_contributing)## Df Sum Sq Mean Sq F value Pr(>F)
## ContributingCircumstance1 38 9497891 249944 4809 <2e-16 ***
## Residuals 39578 2057039 52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_contributing)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ ContributingCircumstance1, data = crashes_contributing)
##
## $ContributingCircumstance1
## diff
## Alcohol use- -4.186404e+01
## Crossed centerline/going wrong way- -4.194891e+01
## Disregarded other traffic signs- -4.213567e+01
## Disregarded road markings- -4.199926e+01
## Disregarded stop sign- -4.201114e+01
## Disregarded traffic signals- -4.113259e+01
## Disregarded yield sign- -4.216929e+01
## Driver distracted- -4.208952e+01
## Driver distracted by electronic communication device (cell phone, texting, etc.)- -4.218193e+01
## Driver distracted by external distraction (outside vehicle)- -4.219304e+01
## Driver distracted by other electronic device (navigation device, DVD player, etc.)- -4.217856e+01
## Driver distracted by other inside the vehicle- -4.218025e+01
## Drug use- -4.213718e+01
## Exceeded authorized speed limit- -4.198150e+01
## Exceeded safe speed for conditions- -3.940365e+01
## Failed to yield right of way- -3.608453e+01
## Failure to reduce speed- -2.414137e+01
## Followed too closely- -4.173234e+01
## Improper backing- -3.700726e+01
## Improper lane change- -3.898587e+01
## Improper or no signal- -4.219284e+01
## Improper parking- -4.098876e+01
## Improper turn- -4.034767e+01
## Inattention- -3.581433e+01
## No contributing circumstances indicated- 1.336070e+01
## Operated defective equipment- -4.201979e+01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner- -4.169640e+01
## Other improper passing- -4.187268e+01
## Other*- -4.133587e+01
## Overcorrected/oversteered- -4.172774e+01
## Passed on curve- -4.221304e+01
## Passed on hill- -4.221304e+01
## Passed stopped school bus- -4.221304e+01
## Right turn on red- -4.216724e+01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist- -4.173778e+01
## Unable to determine- -3.777702e+01
## Use of improper lane- -4.193726e+01
## Visibility obstructed- -4.207772e+01
## Crossed centerline/going wrong way-Alcohol use -8.487341e-02
## Disregarded other traffic signs-Alcohol use -2.716373e-01
## Disregarded road markings-Alcohol use -1.352203e-01
## Disregarded stop sign-Alcohol use -1.471042e-01
## Disregarded traffic signals-Alcohol use 7.314463e-01
## Disregarded yield sign-Alcohol use -3.052512e-01
## Driver distracted-Alcohol use -2.254857e-01
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Alcohol use -3.178901e-01
## Driver distracted by external distraction (outside vehicle)-Alcohol use -3.290012e-01
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Alcohol use -3.145184e-01
## Driver distracted by other inside the vehicle-Alcohol use -3.162143e-01
## Drug use-Alcohol use -2.731391e-01
## Exceeded authorized speed limit-Alcohol use -1.174671e-01
## Exceeded safe speed for conditions-Alcohol use 2.460391e+00
## Failed to yield right of way-Alcohol use 5.779502e+00
## Failure to reduce speed-Alcohol use 1.772267e+01
## Followed too closely-Alcohol use 1.317006e-01
## Improper backing-Alcohol use 4.856780e+00
## Improper lane change-Alcohol use 2.878169e+00
## Improper or no signal-Alcohol use -3.287992e-01
## Improper parking-Alcohol use 8.752732e-01
## Improper turn-Alcohol use 1.516365e+00
## Inattention-Alcohol use 6.049711e+00
## No contributing circumstances indicated-Alcohol use 5.522474e+01
## Operated defective equipment-Alcohol use -1.557496e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Alcohol use 1.676391e-01
## Other improper passing-Alcohol use -8.646408e-03
## Other*-Alcohol use 5.281700e-01
## Overcorrected/oversteered-Alcohol use 1.362929e-01
## Passed on curve-Alcohol use -3.490012e-01
## Passed on hill-Alcohol use -3.490012e-01
## Passed stopped school bus-Alcohol use -3.490012e-01
## Right turn on red-Alcohol use -3.031996e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Alcohol use 1.262566e-01
## Unable to determine-Alcohol use 4.087013e+00
## Use of improper lane-Alcohol use -7.322478e-02
## Visibility obstructed-Alcohol use -2.136876e-01
## Disregarded other traffic signs-Crossed centerline/going wrong way -1.867639e-01
## Disregarded road markings-Crossed centerline/going wrong way -5.034685e-02
## Disregarded stop sign-Crossed centerline/going wrong way -6.223075e-02
## Disregarded traffic signals-Crossed centerline/going wrong way 8.163198e-01
## Disregarded yield sign-Crossed centerline/going wrong way -2.203778e-01
## Driver distracted-Crossed centerline/going wrong way -1.406123e-01
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Crossed centerline/going wrong way -2.330167e-01
## Driver distracted by external distraction (outside vehicle)-Crossed centerline/going wrong way -2.441278e-01
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Crossed centerline/going wrong way -2.296450e-01
## Driver distracted by other inside the vehicle-Crossed centerline/going wrong way -2.313409e-01
## Drug use-Crossed centerline/going wrong way -1.882657e-01
## Exceeded authorized speed limit-Crossed centerline/going wrong way -3.259367e-02
## Exceeded safe speed for conditions-Crossed centerline/going wrong way 2.545265e+00
## Failed to yield right of way-Crossed centerline/going wrong way 5.864376e+00
## Failure to reduce speed-Crossed centerline/going wrong way 1.780754e+01
## Followed too closely-Crossed centerline/going wrong way 2.165740e-01
## Improper backing-Crossed centerline/going wrong way 4.941653e+00
## Improper lane change-Crossed centerline/going wrong way 2.963043e+00
## Improper or no signal-Crossed centerline/going wrong way -2.439257e-01
## Improper parking-Crossed centerline/going wrong way 9.601466e-01
## Improper turn-Crossed centerline/going wrong way 1.601239e+00
## Inattention-Crossed centerline/going wrong way 6.134585e+00
## No contributing circumstances indicated-Crossed centerline/going wrong way 5.530961e+01
## Operated defective equipment-Crossed centerline/going wrong way -7.087623e-02
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Crossed centerline/going wrong way 2.525125e-01
## Other improper passing-Crossed centerline/going wrong way 7.622700e-02
## Other*-Crossed centerline/going wrong way 6.130435e-01
## Overcorrected/oversteered-Crossed centerline/going wrong way 2.211664e-01
## Passed on curve-Crossed centerline/going wrong way -2.641278e-01
## Passed on hill-Crossed centerline/going wrong way -2.641278e-01
## Passed stopped school bus-Crossed centerline/going wrong way -2.641278e-01
## Right turn on red-Crossed centerline/going wrong way -2.183262e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Crossed centerline/going wrong way 2.111300e-01
## Unable to determine-Crossed centerline/going wrong way 4.171887e+00
## Use of improper lane-Crossed centerline/going wrong way 1.164863e-02
## Visibility obstructed-Crossed centerline/going wrong way -1.288142e-01
## Disregarded road markings-Disregarded other traffic signs 1.364170e-01
## Disregarded stop sign-Disregarded other traffic signs 1.245331e-01
## Disregarded traffic signals-Disregarded other traffic signs 1.003084e+00
## Disregarded yield sign-Disregarded other traffic signs -3.361390e-02
## Driver distracted-Disregarded other traffic signs 4.615154e-02
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded other traffic signs -4.625279e-02
## Driver distracted by external distraction (outside vehicle)-Disregarded other traffic signs -5.736390e-02
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded other traffic signs -4.288114e-02
## Driver distracted by other inside the vehicle-Disregarded other traffic signs -4.457701e-02
## Drug use-Disregarded other traffic signs -1.501828e-03
## Exceeded authorized speed limit-Disregarded other traffic signs 1.541702e-01
## Exceeded safe speed for conditions-Disregarded other traffic signs 2.732028e+00
## Failed to yield right of way-Disregarded other traffic signs 6.051140e+00
## Failure to reduce speed-Disregarded other traffic signs 1.799431e+01
## Followed too closely-Disregarded other traffic signs 4.033379e-01
## Improper backing-Disregarded other traffic signs 5.128417e+00
## Improper lane change-Disregarded other traffic signs 3.149807e+00
## Improper or no signal-Disregarded other traffic signs -5.716188e-02
## Improper parking-Disregarded other traffic signs 1.146911e+00
## Improper turn-Disregarded other traffic signs 1.788002e+00
## Inattention-Disregarded other traffic signs 6.321349e+00
## No contributing circumstances indicated-Disregarded other traffic signs 5.549638e+01
## Operated defective equipment-Disregarded other traffic signs 1.158876e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded other traffic signs 4.392764e-01
## Other improper passing-Disregarded other traffic signs 2.629909e-01
## Other*-Disregarded other traffic signs 7.998073e-01
## Overcorrected/oversteered-Disregarded other traffic signs 4.079302e-01
## Passed on curve-Disregarded other traffic signs -7.736390e-02
## Passed on hill-Disregarded other traffic signs -7.736390e-02
## Passed stopped school bus-Disregarded other traffic signs -7.736390e-02
## Right turn on red-Disregarded other traffic signs -3.156237e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded other traffic signs 3.978938e-01
## Unable to determine-Disregarded other traffic signs 4.358651e+00
## Use of improper lane-Disregarded other traffic signs 1.984125e-01
## Visibility obstructed-Disregarded other traffic signs 5.794963e-02
## Disregarded stop sign-Disregarded road markings -1.188390e-02
## Disregarded traffic signals-Disregarded road markings 8.666666e-01
## Disregarded yield sign-Disregarded road markings -1.700309e-01
## Driver distracted-Disregarded road markings -9.026548e-02
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded road markings -1.826698e-01
## Driver distracted by external distraction (outside vehicle)-Disregarded road markings -1.937809e-01
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded road markings -1.792982e-01
## Driver distracted by other inside the vehicle-Disregarded road markings -1.809940e-01
## Drug use-Disregarded road markings -1.379188e-01
## Exceeded authorized speed limit-Disregarded road markings 1.775317e-02
## Exceeded safe speed for conditions-Disregarded road markings 2.595611e+00
## Failed to yield right of way-Disregarded road markings 5.914723e+00
## Failure to reduce speed-Disregarded road markings 1.785789e+01
## Followed too closely-Disregarded road markings 2.669208e-01
## Improper backing-Disregarded road markings 4.992000e+00
## Improper lane change-Disregarded road markings 3.013390e+00
## Improper or no signal-Disregarded road markings -1.935789e-01
## Improper parking-Disregarded road markings 1.010493e+00
## Improper turn-Disregarded road markings 1.651585e+00
## Inattention-Disregarded road markings 6.184932e+00
## No contributing circumstances indicated-Disregarded road markings 5.535996e+01
## Operated defective equipment-Disregarded road markings -2.052938e-02
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded road markings 3.028593e-01
## Other improper passing-Disregarded road markings 1.265738e-01
## Other*-Disregarded road markings 6.633903e-01
## Overcorrected/oversteered-Disregarded road markings 2.715132e-01
## Passed on curve-Disregarded road markings -2.137809e-01
## Passed on hill-Disregarded road markings -2.137809e-01
## Passed stopped school bus-Disregarded road markings -2.137809e-01
## Right turn on red-Disregarded road markings -1.679794e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded road markings 2.614768e-01
## Unable to determine-Disregarded road markings 4.222234e+00
## Use of improper lane-Disregarded road markings 6.199548e-02
## Visibility obstructed-Disregarded road markings -7.846739e-02
## Disregarded traffic signals-Disregarded stop sign 8.785505e-01
## Disregarded yield sign-Disregarded stop sign -1.581470e-01
## Driver distracted-Disregarded stop sign -7.838158e-02
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded stop sign -1.707859e-01
## Driver distracted by external distraction (outside vehicle)-Disregarded stop sign -1.818970e-01
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded stop sign -1.674143e-01
## Driver distracted by other inside the vehicle-Disregarded stop sign -1.691101e-01
## Drug use-Disregarded stop sign -1.260349e-01
## Exceeded authorized speed limit-Disregarded stop sign 2.963707e-02
## Exceeded safe speed for conditions-Disregarded stop sign 2.607495e+00
## Failed to yield right of way-Disregarded stop sign 5.926607e+00
## Failure to reduce speed-Disregarded stop sign 1.786978e+01
## Followed too closely-Disregarded stop sign 2.788047e-01
## Improper backing-Disregarded stop sign 5.003884e+00
## Improper lane change-Disregarded stop sign 3.025273e+00
## Improper or no signal-Disregarded stop sign -1.816950e-01
## Improper parking-Disregarded stop sign 1.022377e+00
## Improper turn-Disregarded stop sign 1.663469e+00
## Inattention-Disregarded stop sign 6.196815e+00
## No contributing circumstances indicated-Disregarded stop sign 5.537185e+01
## Operated defective equipment-Disregarded stop sign -8.645485e-03
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded stop sign 3.147432e-01
## Other improper passing-Disregarded stop sign 1.384577e-01
## Other*-Disregarded stop sign 6.752742e-01
## Overcorrected/oversteered-Disregarded stop sign 2.833971e-01
## Passed on curve-Disregarded stop sign -2.018970e-01
## Passed on hill-Disregarded stop sign -2.018970e-01
## Passed stopped school bus-Disregarded stop sign -2.018970e-01
## Right turn on red-Disregarded stop sign -1.560955e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded stop sign 2.733607e-01
## Unable to determine-Disregarded stop sign 4.234118e+00
## Use of improper lane-Disregarded stop sign 7.387938e-02
## Visibility obstructed-Disregarded stop sign -6.658349e-02
## Disregarded yield sign-Disregarded traffic signals -1.036698e+00
## Driver distracted-Disregarded traffic signals -9.569321e-01
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded traffic signals -1.049336e+00
## Driver distracted by external distraction (outside vehicle)-Disregarded traffic signals -1.060448e+00
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded traffic signals -1.045965e+00
## Driver distracted by other inside the vehicle-Disregarded traffic signals -1.047661e+00
## Drug use-Disregarded traffic signals -1.004585e+00
## Exceeded authorized speed limit-Disregarded traffic signals -8.489134e-01
## Exceeded safe speed for conditions-Disregarded traffic signals 1.728945e+00
## Failed to yield right of way-Disregarded traffic signals 5.048056e+00
## Failure to reduce speed-Disregarded traffic signals 1.699122e+01
## Followed too closely-Disregarded traffic signals -5.997458e-01
## Improper backing-Disregarded traffic signals 4.125333e+00
## Improper lane change-Disregarded traffic signals 2.146723e+00
## Improper or no signal-Disregarded traffic signals -1.060246e+00
## Improper parking-Disregarded traffic signals 1.438269e-01
## Improper turn-Disregarded traffic signals 7.849188e-01
## Inattention-Disregarded traffic signals 5.318265e+00
## No contributing circumstances indicated-Disregarded traffic signals 5.449330e+01
## Operated defective equipment-Disregarded traffic signals -8.871960e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded traffic signals -5.638073e-01
## Other improper passing-Disregarded traffic signals -7.400928e-01
## Other*-Disregarded traffic signals -2.032763e-01
## Overcorrected/oversteered-Disregarded traffic signals -5.951534e-01
## Passed on curve-Disregarded traffic signals -1.080448e+00
## Passed on hill-Disregarded traffic signals -1.080448e+00
## Passed stopped school bus-Disregarded traffic signals -1.080448e+00
## Right turn on red-Disregarded traffic signals -1.034646e+00
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded traffic signals -6.051898e-01
## Unable to determine-Disregarded traffic signals 3.355567e+00
## Use of improper lane-Disregarded traffic signals -8.046711e-01
## Visibility obstructed-Disregarded traffic signals -9.451340e-01
## Driver distracted-Disregarded yield sign 7.976544e-02
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded yield sign -1.263889e-02
## Driver distracted by external distraction (outside vehicle)-Disregarded yield sign -2.375000e-02
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded yield sign -9.267241e-03
## Driver distracted by other inside the vehicle-Disregarded yield sign -1.096311e-02
## Drug use-Disregarded yield sign 3.211207e-02
## Exceeded authorized speed limit-Disregarded yield sign 1.877841e-01
## Exceeded safe speed for conditions-Disregarded yield sign 2.765642e+00
## Failed to yield right of way-Disregarded yield sign 6.084754e+00
## Failure to reduce speed-Disregarded yield sign 1.802792e+01
## Followed too closely-Disregarded yield sign 4.369518e-01
## Improper backing-Disregarded yield sign 5.162031e+00
## Improper lane change-Disregarded yield sign 3.183420e+00
## Improper or no signal-Disregarded yield sign -2.354798e-02
## Improper parking-Disregarded yield sign 1.180524e+00
## Improper turn-Disregarded yield sign 1.821616e+00
## Inattention-Disregarded yield sign 6.354962e+00
## No contributing circumstances indicated-Disregarded yield sign 5.552999e+01
## Operated defective equipment-Disregarded yield sign 1.495015e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded yield sign 4.728903e-01
## Other improper passing-Disregarded yield sign 2.966048e-01
## Other*-Disregarded yield sign 8.334212e-01
## Overcorrected/oversteered-Disregarded yield sign 4.415441e-01
## Passed on curve-Disregarded yield sign -4.375000e-02
## Passed on hill-Disregarded yield sign -4.375000e-02
## Passed stopped school bus-Disregarded yield sign -4.375000e-02
## Right turn on red-Disregarded yield sign 2.051527e-03
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded yield sign 4.315077e-01
## Unable to determine-Disregarded yield sign 4.392265e+00
## Use of improper lane-Disregarded yield sign 2.320264e-01
## Visibility obstructed-Disregarded yield sign 9.156353e-02
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Driver distracted -9.240433e-02
## Driver distracted by external distraction (outside vehicle)-Driver distracted -1.035154e-01
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted -8.903268e-02
## Driver distracted by other inside the vehicle-Driver distracted -9.072855e-02
## Drug use-Driver distracted -4.765337e-02
## Exceeded authorized speed limit-Driver distracted 1.080187e-01
## Exceeded safe speed for conditions-Driver distracted 2.685877e+00
## Failed to yield right of way-Driver distracted 6.004988e+00
## Failure to reduce speed-Driver distracted 1.794816e+01
## Followed too closely-Driver distracted 3.571863e-01
## Improper backing-Driver distracted 5.082265e+00
## Improper lane change-Driver distracted 3.103655e+00
## Improper or no signal-Driver distracted -1.033134e-01
## Improper parking-Driver distracted 1.100759e+00
## Improper turn-Driver distracted 1.741851e+00
## Inattention-Driver distracted 6.275197e+00
## No contributing circumstances indicated-Driver distracted 5.545023e+01
## Operated defective equipment-Driver distracted 6.973609e-02
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted 3.931248e-01
## Other improper passing-Driver distracted 2.168393e-01
## Other*-Driver distracted 7.536558e-01
## Overcorrected/oversteered-Driver distracted 3.617787e-01
## Passed on curve-Driver distracted -1.235154e-01
## Passed on hill-Driver distracted -1.235154e-01
## Passed stopped school bus-Driver distracted -1.235154e-01
## Right turn on red-Driver distracted -7.771391e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted 3.517423e-01
## Unable to determine-Driver distracted 4.312499e+00
## Use of improper lane-Driver distracted 1.522610e-01
## Visibility obstructed-Driver distracted 1.179809e-02
## Driver distracted by external distraction (outside vehicle)-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.111111e-02
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.371647e-03
## Driver distracted by other inside the vehicle-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.675774e-03
## Drug use-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.475096e-02
## Exceeded authorized speed limit-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.004230e-01
## Exceeded safe speed for conditions-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.778281e+00
## Failed to yield right of way-Driver distracted by electronic communication device (cell phone, texting, etc.) 6.097393e+00
## Failure to reduce speed-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.804056e+01
## Followed too closely-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.495906e-01
## Improper backing-Driver distracted by electronic communication device (cell phone, texting, etc.) 5.174670e+00
## Improper lane change-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.196059e+00
## Improper or no signal-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.090909e-02
## Improper parking-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.193163e+00
## Improper turn-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.834255e+00
## Inattention-Driver distracted by electronic communication device (cell phone, texting, etc.) 6.367601e+00
## No contributing circumstances indicated-Driver distracted by electronic communication device (cell phone, texting, etc.) 5.554263e+01
## Operated defective equipment-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.621404e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.855291e-01
## Other improper passing-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.092437e-01
## Other*-Driver distracted by electronic communication device (cell phone, texting, etc.) 8.460601e-01
## Overcorrected/oversteered-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.541830e-01
## Passed on curve-Driver distracted by electronic communication device (cell phone, texting, etc.) -3.111111e-02
## Passed on hill-Driver distracted by electronic communication device (cell phone, texting, etc.) -3.111111e-02
## Passed stopped school bus-Driver distracted by electronic communication device (cell phone, texting, etc.) -3.111111e-02
## Right turn on red-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.469042e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.441466e-01
## Unable to determine-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.404904e+00
## Use of improper lane-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.446653e-01
## Visibility obstructed-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.042024e-01
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted by external distraction (outside vehicle) 1.448276e-02
## Driver distracted by other inside the vehicle-Driver distracted by external distraction (outside vehicle) 1.278689e-02
## Drug use-Driver distracted by external distraction (outside vehicle) 5.586207e-02
## Exceeded authorized speed limit-Driver distracted by external distraction (outside vehicle) 2.115341e-01
## Exceeded safe speed for conditions-Driver distracted by external distraction (outside vehicle) 2.789392e+00
## Failed to yield right of way-Driver distracted by external distraction (outside vehicle) 6.108504e+00
## Failure to reduce speed-Driver distracted by external distraction (outside vehicle) 1.805167e+01
## Followed too closely-Driver distracted by external distraction (outside vehicle) 4.607018e-01
## Improper backing-Driver distracted by external distraction (outside vehicle) 5.185781e+00
## Improper lane change-Driver distracted by external distraction (outside vehicle) 3.207170e+00
## Improper or no signal-Driver distracted by external distraction (outside vehicle) 2.020202e-04
## Improper parking-Driver distracted by external distraction (outside vehicle) 1.204274e+00
## Improper turn-Driver distracted by external distraction (outside vehicle) 1.845366e+00
## Inattention-Driver distracted by external distraction (outside vehicle) 6.378712e+00
## No contributing circumstances indicated-Driver distracted by external distraction (outside vehicle) 5.555374e+01
## Operated defective equipment-Driver distracted by external distraction (outside vehicle) 1.732515e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by external distraction (outside vehicle) 4.966403e-01
## Other improper passing-Driver distracted by external distraction (outside vehicle) 3.203548e-01
## Other*-Driver distracted by external distraction (outside vehicle) 8.571712e-01
## Overcorrected/oversteered-Driver distracted by external distraction (outside vehicle) 4.652941e-01
## Passed on curve-Driver distracted by external distraction (outside vehicle) -2.000000e-02
## Passed on hill-Driver distracted by external distraction (outside vehicle) -2.000000e-02
## Passed stopped school bus-Driver distracted by external distraction (outside vehicle) -2.000000e-02
## Right turn on red-Driver distracted by external distraction (outside vehicle) 2.580153e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by external distraction (outside vehicle) 4.552577e-01
## Unable to determine-Driver distracted by external distraction (outside vehicle) 4.416015e+00
## Use of improper lane-Driver distracted by external distraction (outside vehicle) 2.557764e-01
## Visibility obstructed-Driver distracted by external distraction (outside vehicle) 1.153135e-01
## Driver distracted by other inside the vehicle-Driver distracted by other electronic device (navigation device, DVD player, etc.) -1.695873e-03
## Drug use-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.137931e-02
## Exceeded authorized speed limit-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.970513e-01
## Exceeded safe speed for conditions-Driver distracted by other electronic device (navigation device, DVD player, etc.) 2.774910e+00
## Failed to yield right of way-Driver distracted by other electronic device (navigation device, DVD player, etc.) 6.094021e+00
## Failure to reduce speed-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.803719e+01
## Followed too closely-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.462190e-01
## Improper backing-Driver distracted by other electronic device (navigation device, DVD player, etc.) 5.171298e+00
## Improper lane change-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.192688e+00
## Improper or no signal-Driver distracted by other electronic device (navigation device, DVD player, etc.) -1.428074e-02
## Improper parking-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.189792e+00
## Improper turn-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.830884e+00
## Inattention-Driver distracted by other electronic device (navigation device, DVD player, etc.) 6.364230e+00
## No contributing circumstances indicated-Driver distracted by other electronic device (navigation device, DVD player, etc.) 5.553926e+01
## Operated defective equipment-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.587688e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.821575e-01
## Other improper passing-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.058720e-01
## Other*-Driver distracted by other electronic device (navigation device, DVD player, etc.) 8.426885e-01
## Overcorrected/oversteered-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.508114e-01
## Passed on curve-Driver distracted by other electronic device (navigation device, DVD player, etc.) -3.448276e-02
## Passed on hill-Driver distracted by other electronic device (navigation device, DVD player, etc.) -3.448276e-02
## Passed stopped school bus-Driver distracted by other electronic device (navigation device, DVD player, etc.) -3.448276e-02
## Right turn on red-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.131877e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.407750e-01
## Unable to determine-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.401532e+00
## Use of improper lane-Driver distracted by other electronic device (navigation device, DVD player, etc.) 2.412936e-01
## Visibility obstructed-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.008308e-01
## Drug use-Driver distracted by other inside the vehicle 4.307518e-02
## Exceeded authorized speed limit-Driver distracted by other inside the vehicle 1.987472e-01
## Exceeded safe speed for conditions-Driver distracted by other inside the vehicle 2.776605e+00
## Failed to yield right of way-Driver distracted by other inside the vehicle 6.095717e+00
## Failure to reduce speed-Driver distracted by other inside the vehicle 1.803889e+01
## Followed too closely-Driver distracted by other inside the vehicle 4.479149e-01
## Improper backing-Driver distracted by other inside the vehicle 5.172994e+00
## Improper lane change-Driver distracted by other inside the vehicle 3.194384e+00
## Improper or no signal-Driver distracted by other inside the vehicle -1.258487e-02
## Improper parking-Driver distracted by other inside the vehicle 1.191488e+00
## Improper turn-Driver distracted by other inside the vehicle 1.832579e+00
## Inattention-Driver distracted by other inside the vehicle 6.365926e+00
## No contributing circumstances indicated-Driver distracted by other inside the vehicle 5.554096e+01
## Operated defective equipment-Driver distracted by other inside the vehicle 1.604646e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by other inside the vehicle 4.838534e-01
## Other improper passing-Driver distracted by other inside the vehicle 3.075679e-01
## Other*-Driver distracted by other inside the vehicle 8.443843e-01
## Overcorrected/oversteered-Driver distracted by other inside the vehicle 4.525072e-01
## Passed on curve-Driver distracted by other inside the vehicle -3.278689e-02
## Passed on hill-Driver distracted by other inside the vehicle -3.278689e-02
## Passed stopped school bus-Driver distracted by other inside the vehicle -3.278689e-02
## Right turn on red-Driver distracted by other inside the vehicle 1.301464e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by other inside the vehicle 4.424708e-01
## Unable to determine-Driver distracted by other inside the vehicle 4.403228e+00
## Use of improper lane-Driver distracted by other inside the vehicle 2.429895e-01
## Visibility obstructed-Driver distracted by other inside the vehicle 1.025266e-01
## Exceeded authorized speed limit-Drug use 1.556720e-01
## Exceeded safe speed for conditions-Drug use 2.733530e+00
## Failed to yield right of way-Drug use 6.052642e+00
## Failure to reduce speed-Drug use 1.799581e+01
## Followed too closely-Drug use 4.048397e-01
## Improper backing-Drug use 5.129919e+00
## Improper lane change-Drug use 3.151308e+00
## Improper or no signal-Drug use -5.566005e-02
## Improper parking-Drug use 1.148412e+00
## Improper turn-Drug use 1.789504e+00
## Inattention-Drug use 6.322850e+00
## No contributing circumstances indicated-Drug use 5.549788e+01
## Operated defective equipment-Drug use 1.173895e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Drug use 4.407782e-01
## Other improper passing-Drug use 2.644927e-01
## Other*-Drug use 8.013091e-01
## Overcorrected/oversteered-Drug use 4.094320e-01
## Passed on curve-Drug use -7.586207e-02
## Passed on hill-Drug use -7.586207e-02
## Passed stopped school bus-Drug use -7.586207e-02
## Right turn on red-Drug use -3.006054e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Drug use 3.993957e-01
## Unable to determine-Drug use 4.360153e+00
## Use of improper lane-Drug use 1.999143e-01
## Visibility obstructed-Drug use 5.945146e-02
## Exceeded safe speed for conditions-Exceeded authorized speed limit 2.577858e+00
## Failed to yield right of way-Exceeded authorized speed limit 5.896970e+00
## Failure to reduce speed-Exceeded authorized speed limit 1.784014e+01
## Followed too closely-Exceeded authorized speed limit 2.491677e-01
## Improper backing-Exceeded authorized speed limit 4.974247e+00
## Improper lane change-Exceeded authorized speed limit 2.995636e+00
## Improper or no signal-Exceeded authorized speed limit -2.113321e-01
## Improper parking-Exceeded authorized speed limit 9.927403e-01
## Improper turn-Exceeded authorized speed limit 1.633832e+00
## Inattention-Exceeded authorized speed limit 6.167178e+00
## No contributing circumstances indicated-Exceeded authorized speed limit 5.534221e+01
## Operated defective equipment-Exceeded authorized speed limit -3.828256e-02
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Exceeded authorized speed limit 2.851062e-01
## Other improper passing-Exceeded authorized speed limit 1.088207e-01
## Other*-Exceeded authorized speed limit 6.456371e-01
## Overcorrected/oversteered-Exceeded authorized speed limit 2.537600e-01
## Passed on curve-Exceeded authorized speed limit -2.315341e-01
## Passed on hill-Exceeded authorized speed limit -2.315341e-01
## Passed stopped school bus-Exceeded authorized speed limit -2.315341e-01
## Right turn on red-Exceeded authorized speed limit -1.857326e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Exceeded authorized speed limit 2.437236e-01
## Unable to determine-Exceeded authorized speed limit 4.204481e+00
## Use of improper lane-Exceeded authorized speed limit 4.424231e-02
## Visibility obstructed-Exceeded authorized speed limit -9.622056e-02
## Failed to yield right of way-Exceeded safe speed for conditions 3.319111e+00
## Failure to reduce speed-Exceeded safe speed for conditions 1.526228e+01
## Followed too closely-Exceeded safe speed for conditions -2.328691e+00
## Improper backing-Exceeded safe speed for conditions 2.396389e+00
## Improper lane change-Exceeded safe speed for conditions 4.177782e-01
## Improper or no signal-Exceeded safe speed for conditions -2.789190e+00
## Improper parking-Exceeded safe speed for conditions -1.585118e+00
## Improper turn-Exceeded safe speed for conditions -9.440259e-01
## Inattention-Exceeded safe speed for conditions 3.589320e+00
## No contributing circumstances indicated-Exceeded safe speed for conditions 5.276435e+01
## Operated defective equipment-Exceeded safe speed for conditions -2.616141e+00
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Exceeded safe speed for conditions -2.292752e+00
## Other improper passing-Exceeded safe speed for conditions -2.469037e+00
## Other*-Exceeded safe speed for conditions -1.932221e+00
## Overcorrected/oversteered-Exceeded safe speed for conditions -2.324098e+00
## Passed on curve-Exceeded safe speed for conditions -2.809392e+00
## Passed on hill-Exceeded safe speed for conditions -2.809392e+00
## Passed stopped school bus-Exceeded safe speed for conditions -2.809392e+00
## Right turn on red-Exceeded safe speed for conditions -2.763591e+00
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Exceeded safe speed for conditions -2.334135e+00
## Unable to determine-Exceeded safe speed for conditions 1.626622e+00
## Use of improper lane-Exceeded safe speed for conditions -2.533616e+00
## Visibility obstructed-Exceeded safe speed for conditions -2.674079e+00
## Failure to reduce speed-Failed to yield right of way 1.194317e+01
## Followed too closely-Failed to yield right of way -5.647802e+00
## Improper backing-Failed to yield right of way -9.227228e-01
## Improper lane change-Failed to yield right of way -2.901333e+00
## Improper or no signal-Failed to yield right of way -6.108302e+00
## Improper parking-Failed to yield right of way -4.904229e+00
## Improper turn-Failed to yield right of way -4.263137e+00
## Inattention-Failed to yield right of way 2.702088e-01
## No contributing circumstances indicated-Failed to yield right of way 4.944524e+01
## Operated defective equipment-Failed to yield right of way -5.935252e+00
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Failed to yield right of way -5.611863e+00
## Other improper passing-Failed to yield right of way -5.788149e+00
## Other*-Failed to yield right of way -5.251332e+00
## Overcorrected/oversteered-Failed to yield right of way -5.643210e+00
## Passed on curve-Failed to yield right of way -6.128504e+00
## Passed on hill-Failed to yield right of way -6.128504e+00
## Passed stopped school bus-Failed to yield right of way -6.128504e+00
## Right turn on red-Failed to yield right of way -6.082702e+00
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Failed to yield right of way -5.653246e+00
## Unable to determine-Failed to yield right of way -1.692489e+00
## Use of improper lane-Failed to yield right of way -5.852727e+00
## Visibility obstructed-Failed to yield right of way -5.993190e+00
## Followed too closely-Failure to reduce speed -1.759097e+01
## Improper backing-Failure to reduce speed -1.286589e+01
## Improper lane change-Failure to reduce speed -1.484450e+01
## Improper or no signal-Failure to reduce speed -1.805147e+01
## Improper parking-Failure to reduce speed -1.684740e+01
## Improper turn-Failure to reduce speed -1.620631e+01
## Inattention-Failure to reduce speed -1.167296e+01
## No contributing circumstances indicated-Failure to reduce speed 3.750207e+01
## Operated defective equipment-Failure to reduce speed -1.787842e+01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Failure to reduce speed -1.755503e+01
## Other improper passing-Failure to reduce speed -1.773132e+01
## Other*-Failure to reduce speed -1.719450e+01
## Overcorrected/oversteered-Failure to reduce speed -1.758638e+01
## Passed on curve-Failure to reduce speed -1.807167e+01
## Passed on hill-Failure to reduce speed -1.807167e+01
## Passed stopped school bus-Failure to reduce speed -1.807167e+01
## Right turn on red-Failure to reduce speed -1.802587e+01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Failure to reduce speed -1.759641e+01
## Unable to determine-Failure to reduce speed -1.363566e+01
## Use of improper lane-Failure to reduce speed -1.779590e+01
## Visibility obstructed-Failure to reduce speed -1.793636e+01
## Improper backing-Followed too closely 4.725079e+00
## Improper lane change-Followed too closely 2.746469e+00
## Improper or no signal-Followed too closely -4.604997e-01
## Improper parking-Followed too closely 7.435727e-01
## Improper turn-Followed too closely 1.384665e+00
## Inattention-Followed too closely 5.918011e+00
## No contributing circumstances indicated-Followed too closely 5.509304e+01
## Operated defective equipment-Followed too closely -2.874502e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Followed too closely 3.593850e-02
## Other improper passing-Followed too closely -1.403470e-01
## Other*-Followed too closely 3.964695e-01
## Overcorrected/oversteered-Followed too closely 4.592363e-03
## Passed on curve-Followed too closely -4.807018e-01
## Passed on hill-Followed too closely -4.807018e-01
## Passed stopped school bus-Followed too closely -4.807018e-01
## Right turn on red-Followed too closely -4.349002e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Followed too closely -5.444022e-03
## Unable to determine-Followed too closely 3.955313e+00
## Use of improper lane-Followed too closely -2.049254e-01
## Visibility obstructed-Followed too closely -3.453882e-01
## Improper lane change-Improper backing -1.978610e+00
## Improper or no signal-Improper backing -5.185579e+00
## Improper parking-Improper backing -3.981506e+00
## Improper turn-Improper backing -3.340415e+00
## Inattention-Improper backing 1.192932e+00
## No contributing circumstances indicated-Improper backing 5.036796e+01
## Operated defective equipment-Improper backing -5.012529e+00
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper backing -4.689141e+00
## Other improper passing-Improper backing -4.865426e+00
## Other*-Improper backing -4.328610e+00
## Overcorrected/oversteered-Improper backing -4.720487e+00
## Passed on curve-Improper backing -5.205781e+00
## Passed on hill-Improper backing -5.205781e+00
## Passed stopped school bus-Improper backing -5.205781e+00
## Right turn on red-Improper backing -5.159979e+00
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper backing -4.730523e+00
## Unable to determine-Improper backing -7.697662e-01
## Use of improper lane-Improper backing -4.930004e+00
## Visibility obstructed-Improper backing -5.070467e+00
## Improper or no signal-Improper lane change -3.206968e+00
## Improper parking-Improper lane change -2.002896e+00
## Improper turn-Improper lane change -1.361804e+00
## Inattention-Improper lane change 3.171542e+00
## No contributing circumstances indicated-Improper lane change 5.234657e+01
## Operated defective equipment-Improper lane change -3.033919e+00
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper lane change -2.710530e+00
## Other improper passing-Improper lane change -2.886816e+00
## Other*-Improper lane change -2.349999e+00
## Overcorrected/oversteered-Improper lane change -2.741876e+00
## Passed on curve-Improper lane change -3.227170e+00
## Passed on hill-Improper lane change -3.227170e+00
## Passed stopped school bus-Improper lane change -3.227170e+00
## Right turn on red-Improper lane change -3.181369e+00
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper lane change -2.751913e+00
## Unable to determine-Improper lane change 1.208844e+00
## Use of improper lane-Improper lane change -2.951394e+00
## Visibility obstructed-Improper lane change -3.091857e+00
## Improper parking-Improper or no signal 1.204072e+00
## Improper turn-Improper or no signal 1.845164e+00
## Inattention-Improper or no signal 6.378510e+00
## No contributing circumstances indicated-Improper or no signal 5.555354e+01
## Operated defective equipment-Improper or no signal 1.730495e-01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper or no signal 4.964382e-01
## Other improper passing-Improper or no signal 3.201527e-01
## Other*-Improper or no signal 8.569692e-01
## Overcorrected/oversteered-Improper or no signal 4.650921e-01
## Passed on curve-Improper or no signal -2.020202e-02
## Passed on hill-Improper or no signal -2.020202e-02
## Passed stopped school bus-Improper or no signal -2.020202e-02
## Right turn on red-Improper or no signal 2.559951e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper or no signal 4.550557e-01
## Unable to determine-Improper or no signal 4.415813e+00
## Use of improper lane-Improper or no signal 2.555744e-01
## Visibility obstructed-Improper or no signal 1.151115e-01
## Improper turn-Improper parking 6.410919e-01
## Inattention-Improper parking 5.174438e+00
## No contributing circumstances indicated-Improper parking 5.434947e+01
## Operated defective equipment-Improper parking -1.031023e+00
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper parking -7.076342e-01
## Other improper passing-Improper parking -8.839196e-01
## Other*-Improper parking -3.471032e-01
## Overcorrected/oversteered-Improper parking -7.389803e-01
## Passed on curve-Improper parking -1.224274e+00
## Passed on hill-Improper parking -1.224274e+00
## Passed stopped school bus-Improper parking -1.224274e+00
## Right turn on red-Improper parking -1.178473e+00
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper parking -7.490167e-01
## Unable to determine-Improper parking 3.211740e+00
## Use of improper lane-Improper parking -9.484980e-01
## Visibility obstructed-Improper parking -1.088961e+00
## Inattention-Improper turn 4.533346e+00
## No contributing circumstances indicated-Improper turn 5.370838e+01
## Operated defective equipment-Improper turn -1.672115e+00
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper turn -1.348726e+00
## Other improper passing-Improper turn -1.525012e+00
## Other*-Improper turn -9.881951e-01
## Overcorrected/oversteered-Improper turn -1.380072e+00
## Passed on curve-Improper turn -1.865366e+00
## Passed on hill-Improper turn -1.865366e+00
## Passed stopped school bus-Improper turn -1.865366e+00
## Right turn on red-Improper turn -1.819565e+00
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper turn -1.390109e+00
## Unable to determine-Improper turn 2.570648e+00
## Use of improper lane-Improper turn -1.589590e+00
## Visibility obstructed-Improper turn -1.730053e+00
## No contributing circumstances indicated-Inattention 4.917503e+01
## Operated defective equipment-Inattention -6.205461e+00
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Inattention -5.882072e+00
## Other improper passing-Inattention -6.058358e+00
## Other*-Inattention -5.521541e+00
## Overcorrected/oversteered-Inattention -5.913418e+00
## Passed on curve-Inattention -6.398712e+00
## Passed on hill-Inattention -6.398712e+00
## Passed stopped school bus-Inattention -6.398712e+00
## Right turn on red-Inattention -6.352911e+00
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Inattention -5.923455e+00
## Unable to determine-Inattention -1.962698e+00
## Use of improper lane-Inattention -6.122936e+00
## Visibility obstructed-Inattention -6.263399e+00
## Operated defective equipment-No contributing circumstances indicated -5.538049e+01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-No contributing circumstances indicated -5.505710e+01
## Other improper passing-No contributing circumstances indicated -5.523339e+01
## Other*-No contributing circumstances indicated -5.469657e+01
## Overcorrected/oversteered-No contributing circumstances indicated -5.508845e+01
## Passed on curve-No contributing circumstances indicated -5.557374e+01
## Passed on hill-No contributing circumstances indicated -5.557374e+01
## Passed stopped school bus-No contributing circumstances indicated -5.557374e+01
## Right turn on red-No contributing circumstances indicated -5.552794e+01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-No contributing circumstances indicated -5.509848e+01
## Unable to determine-No contributing circumstances indicated -5.113773e+01
## Use of improper lane-No contributing circumstances indicated -5.529797e+01
## Visibility obstructed-No contributing circumstances indicated -5.543843e+01
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Operated defective equipment 3.233887e-01
## Other improper passing-Operated defective equipment 1.471032e-01
## Other*-Operated defective equipment 6.839197e-01
## Overcorrected/oversteered-Operated defective equipment 2.920426e-01
## Passed on curve-Operated defective equipment -1.932515e-01
## Passed on hill-Operated defective equipment -1.932515e-01
## Passed stopped school bus-Operated defective equipment -1.932515e-01
## Right turn on red-Operated defective equipment -1.474500e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Operated defective equipment 2.820062e-01
## Unable to determine-Operated defective equipment 4.242763e+00
## Use of improper lane-Operated defective equipment 8.252486e-02
## Visibility obstructed-Operated defective equipment -5.793800e-02
## Other improper passing-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -1.762855e-01
## Other*-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 3.605310e-01
## Overcorrected/oversteered-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -3.134614e-02
## Passed on curve-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -5.166403e-01
## Passed on hill-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -5.166403e-01
## Passed stopped school bus-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -5.166403e-01
## Right turn on red-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -4.708387e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -4.138252e-02
## Unable to determine-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 3.919374e+00
## Use of improper lane-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -2.408639e-01
## Visibility obstructed-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -3.813267e-01
## Other*-Other improper passing 5.368164e-01
## Overcorrected/oversteered-Other improper passing 1.449394e-01
## Passed on curve-Other improper passing -3.403548e-01
## Passed on hill-Other improper passing -3.403548e-01
## Passed stopped school bus-Other improper passing -3.403548e-01
## Right turn on red-Other improper passing -2.945532e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Other improper passing 1.349030e-01
## Unable to determine-Other improper passing 4.095660e+00
## Use of improper lane-Other improper passing -6.457837e-02
## Visibility obstructed-Other improper passing -2.050412e-01
## Overcorrected/oversteered-Other* -3.918771e-01
## Passed on curve-Other* -8.771712e-01
## Passed on hill-Other* -8.771712e-01
## Passed stopped school bus-Other* -8.771712e-01
## Right turn on red-Other* -8.313697e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Other* -4.019135e-01
## Unable to determine-Other* 3.558843e+00
## Use of improper lane-Other* -6.013948e-01
## Visibility obstructed-Other* -7.418577e-01
## Passed on curve-Overcorrected/oversteered -4.852941e-01
## Passed on hill-Overcorrected/oversteered -4.852941e-01
## Passed stopped school bus-Overcorrected/oversteered -4.852941e-01
## Right turn on red-Overcorrected/oversteered -4.394926e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Overcorrected/oversteered -1.003639e-02
## Unable to determine-Overcorrected/oversteered 3.950721e+00
## Use of improper lane-Overcorrected/oversteered -2.095177e-01
## Visibility obstructed-Overcorrected/oversteered -3.499806e-01
## Passed on hill-Passed on curve 7.055689e-12
## Passed stopped school bus-Passed on curve 8.505197e-12
## Right turn on red-Passed on curve 4.580153e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed on curve 4.752577e-01
## Unable to determine-Passed on curve 4.436015e+00
## Use of improper lane-Passed on curve 2.757764e-01
## Visibility obstructed-Passed on curve 1.353135e-01
## Passed stopped school bus-Passed on hill 1.449507e-12
## Right turn on red-Passed on hill 4.580153e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed on hill 4.752577e-01
## Unable to determine-Passed on hill 4.436015e+00
## Use of improper lane-Passed on hill 2.757764e-01
## Visibility obstructed-Passed on hill 1.353135e-01
## Right turn on red-Passed stopped school bus 4.580153e-02
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed stopped school bus 4.752577e-01
## Unable to determine-Passed stopped school bus 4.436015e+00
## Use of improper lane-Passed stopped school bus 2.757764e-01
## Visibility obstructed-Passed stopped school bus 1.353135e-01
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Right turn on red 4.294562e-01
## Unable to determine-Right turn on red 4.390213e+00
## Use of improper lane-Right turn on red 2.299749e-01
## Visibility obstructed-Right turn on red 8.951200e-02
## Unable to determine-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist 3.960757e+00
## Use of improper lane-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist -1.994813e-01
## Visibility obstructed-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist -3.399442e-01
## Use of improper lane-Unable to determine -4.160238e+00
## Visibility obstructed-Unable to determine -4.300701e+00
## Visibility obstructed-Use of improper lane -1.404629e-01
## lwr
## Alcohol use- -42.98205491
## Crossed centerline/going wrong way- -43.08542329
## Disregarded other traffic signs- -43.73863017
## Disregarded road markings- -43.30764466
## Disregarded stop sign- -43.19030382
## Disregarded traffic signals- -41.99776593
## Disregarded yield sign- -44.45221262
## Driver distracted- -43.56834620
## Driver distracted by electronic communication device (cell phone, texting, etc.)- -44.13185507
## Driver distracted by external distraction (outside vehicle)- -45.04596976
## Driver distracted by other electronic device (navigation device, DVD player, etc.)- -45.22908356
## Driver distracted by other inside the vehicle- -44.05962499
## Drug use- -44.52809246
## Exceeded authorized speed limit- -43.18213382
## Exceeded safe speed for conditions- -40.42905295
## Failed to yield right of way- -36.90261544
## Failure to reduce speed- -24.95724939
## Followed too closely- -42.84843336
## Improper backing- -37.82542702
## Improper lane change- -39.81278607
## Improper or no signal- -45.05955434
## Improper parking- -41.85165292
## Improper turn- -41.18672434
## Inattention- -36.63143474
## No contributing circumstances indicated- 12.54499481
## Operated defective equipment- -43.25669851
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner- -42.67169756
## Other improper passing- -42.96725935
## Other*- -42.23969232
## Overcorrected/oversteered- -42.71283997
## Passed on curve- -51.54430887
## Passed on hill- -54.72161958
## Passed stopped school bus- -51.54430887
## Right turn on red- -44.67559378
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist- -42.80428122
## Unable to determine- -38.60733163
## Use of improper lane- -43.07848205
## Visibility obstructed- -43.78331986
## Crossed centerline/going wrong way-Alcohol use -1.45468581
## Disregarded other traffic signs-Alcohol use -2.04764188
## Disregarded road markings-Alcohol use -1.65067470
## Disregarded stop sign-Alcohol use -1.55250414
## Disregarded traffic signals-Alcohol use -0.42321924
## Disregarded yield sign-Alcohol use -2.71283692
## Driver distracted-Alcohol use -1.89031110
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Alcohol use -2.41239338
## Driver distracted by external distraction (outside vehicle)-Alcohol use -3.28263352
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Alcohol use -3.45942659
## Driver distracted by other inside the vehicle-Alcohol use -2.34519689
## Drug use-Alcohol use -2.78335945
## Exceeded authorized speed limit-Alcohol use -1.54092635
## Exceeded safe speed for conditions-Alcohol use 1.18125700
## Failed to yield right of way-Alcohol use 4.65968968
## Failure to reduce speed-Alcohol use 16.60446264
## Followed too closely-Alcohol use -1.22122103
## Improper backing-Alcohol use 3.73690201
## Improper lane change-Alcohol use 1.75188412
## Improper or no signal-Alcohol use -3.29575021
## Improper parking-Alcohol use -0.27768038
## Improper turn-Alcohol use 0.38114120
## Inattention-Alcohol use 4.93060830
## No contributing circumstances indicated-Alcohol use 54.10665979
## Operated defective equipment-Alcohol use -1.60994204
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Alcohol use -1.07168888
## Other improper passing-Alcohol use -1.34386960
## Other*-Alcohol use -0.65573226
## Overcorrected/oversteered-Alcohol use -1.11075893
## Passed on curve-Alcohol use -9.71155111
## Passed on hill-Alcohol use -12.88093395
## Passed stopped school bus-Alcohol use -9.71155111
## Right turn on red-Alcohol use -2.92552318
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Alcohol use -1.18604995
## Unable to determine-Alcohol use 2.95823719
## Use of improper lane-Alcohol use -1.44694535
## Visibility obstructed-Alcohol use -2.08285319
## Disregarded other traffic signs-Crossed centerline/going wrong way -1.97446904
## Disregarded road markings-Crossed centerline/going wrong way -1.57949682
## Disregarded stop sign-Crossed centerline/going wrong way -1.48238798
## Disregarded traffic signals-Crossed centerline/going wrong way -0.35626290
## Disregarded yield sign-Crossed centerline/going wrong way -2.63660759
## Driver distracted-Crossed centerline/going wrong way -1.81791402
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Crossed centerline/going wrong way -2.33745045
## Driver distracted by external distraction (outside vehicle)-Crossed centerline/going wrong way -3.20481037
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Crossed centerline/going wrong way -3.38117557
## Driver distracted by other inside the vehicle-Crossed centerline/going wrong way -2.27057305
## Drug use-Crossed centerline/going wrong way -2.70677788
## Exceeded authorized speed limit-Crossed centerline/going wrong way -1.47062488
## Exceeded safe speed for conditions-Crossed centerline/going wrong way 1.24993385
## Failed to yield right of way-Crossed centerline/going wrong way 4.72609729
## Failure to reduce speed-Crossed centerline/going wrong way 16.67084419
## Followed too closely-Crossed centerline/going wrong way -1.15167099
## Improper backing-Crossed centerline/going wrong way 3.80331068
## Improper lane change-Crossed centerline/going wrong way 1.81839614
## Improper or no signal-Crossed centerline/going wrong way -3.21789548
## Improper parking-Crossed centerline/going wrong way -0.21075024
## Improper turn-Crossed centerline/going wrong way 0.44779550
## Inattention-Crossed centerline/going wrong way 4.99700438
## No contributing circumstances indicated-Crossed centerline/going wrong way 54.17303927
## Operated defective equipment-Crossed centerline/going wrong way -1.53933562
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Crossed centerline/going wrong way -1.00352543
## Other improper passing-Crossed centerline/going wrong way -1.27452036
## Other*-Crossed centerline/going wrong way -0.58833997
## Overcorrected/oversteered-Crossed centerline/going wrong way -1.04249334
## Passed on curve-Crossed centerline/going wrong way -9.62890426
## Passed on hill-Crossed centerline/going wrong way -12.79772408
## Passed stopped school bus-Crossed centerline/going wrong way -9.62890426
## Right turn on red-Crossed centerline/going wrong way -2.84858824
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Crossed centerline/going wrong way -1.11696861
## Unable to determine-Crossed centerline/going wrong way 3.02478908
## Use of improper lane-Crossed centerline/going wrong way -1.37716585
## Visibility obstructed-Crossed centerline/going wrong way -2.00910073
## Disregarded road markings-Disregarded other traffic signs -1.76518913
## Disregarded stop sign-Disregarded other traffic signs -1.69058475
## Disregarded traffic signals-Disregarded other traffic signs -0.62564484
## Disregarded yield sign-Disregarded other traffic signs -2.70119199
## Driver distracted-Disregarded other traffic signs -1.97650693
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded other traffic signs -2.43507006
## Driver distracted by external distraction (outside vehicle)-Disregarded other traffic signs -3.22650381
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded other traffic signs -3.39100766
## Driver distracted by other inside the vehicle-Disregarded other traffic signs -2.37615892
## Drug use-Disregarded other traffic signs -2.76206517
## Exceeded authorized speed limit-Disregarded other traffic signs -1.67496623
## Exceeded safe speed for conditions-Disregarded other traffic signs 1.01281697
## Failed to yield right of way-Disregarded other traffic signs 4.44693139
## Failure to reduce speed-Disregarded other traffic signs 16.39121953
## Followed too closely-Disregarded other traffic signs -1.37145809
## Improper backing-Disregarded other traffic signs 3.52416330
## Improper lane change-Disregarded other traffic signs 1.54107351
## Improper or no signal-Disregarded other traffic signs -3.23871847
## Improper parking-Disregarded other traffic signs -0.48060472
## Improper turn-Disregarded other traffic signs 0.17299864
## Inattention-Disregarded other traffic signs 4.71763559
## No contributing circumstances indicated-Disregarded other traffic signs 53.89337827
## Operated defective equipment-Disregarded other traffic signs -1.73726625
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded other traffic signs -1.25052765
## Other improper passing-Disregarded other traffic signs -1.49835088
## Other*-Disregarded other traffic signs -0.84977701
## Overcorrected/oversteered-Disregarded other traffic signs -1.28754675
## Passed on curve-Disregarded other traffic signs -9.51011775
## Passed on hill-Disregarded other traffic signs -12.66183221
## Passed stopped school bus-Disregarded other traffic signs -9.51011775
## Right turn on red-Disregarded other traffic signs -2.89444283
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded other traffic signs -1.34613947
## Unable to determine-Disregarded other traffic signs 2.74817265
## Use of improper lane-Disregarded other traffic signs -1.59228904
## Visibility obstructed-Disregarded other traffic signs -2.13597006
## Disregarded stop sign-Disregarded road markings -1.57299336
## Disregarded traffic signals-Disregarded road markings -0.47317154
## Disregarded yield sign-Disregarded road markings -2.67170691
## Driver distracted-Disregarded road markings -1.88847490
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded road markings -2.38468202
## Driver distracted by external distraction (outside vehicle)-Disregarded road markings -3.22459890
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded road markings -3.39680668
## Driver distracted by other inside the vehicle-Disregarded road markings -2.32078001
## Drug use-Disregarded road markings -2.73851874
## Exceeded authorized speed limit-Disregarded road markings -1.55963388
## Exceeded safe speed for conditions-Disregarded road markings 1.14713019
## Failed to yield right of way-Disregarded road markings 4.60480123
## Failure to reduce speed-Disregarded road markings 16.54934111
## Followed too closely-Disregarded road markings -1.24711698
## Improper backing-Disregarded road markings 3.68202298
## Improper lane change-Disregarded road markings 1.69793072
## Improper or no signal-Disregarded road markings -3.23737787
## Improper parking-Disregarded road markings -0.32786957
## Improper turn-Disregarded road markings 0.32846521
## Inattention-Disregarded road markings 4.87561678
## No contributing circumstances indicated-Disregarded road markings 54.05151978
## Operated defective equipment-Disregarded road markings -1.62570512
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded road markings -1.11059297
## Other improper passing-Disregarded road markings -1.37166999
## Other*-Disregarded road markings -0.70172445
## Overcorrected/oversteered-Disregarded road markings -1.14871636
## Passed on curve-Disregarded road markings -9.60096660
## Passed on hill-Disregarded road markings -12.76412963
## Passed stopped school bus-Disregarded road markings -9.60096660
## Right turn on red-Disregarded road markings -2.87694494
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded road markings -1.21638042
## Unable to determine-Disregarded road markings 2.90464140
## Use of improper lane-Disregarded road markings -1.47065642
## Visibility obstructed-Disregarded road markings -2.06735991
## Disregarded traffic signals-Disregarded stop sign -0.33541539
## Disregarded yield sign-Disregarded stop sign -2.59472858
## Driver distracted-Disregarded stop sign -1.78487039
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded stop sign -2.29855580
## Driver distracted by external distraction (outside vehicle)-Disregarded stop sign -3.15921201
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded stop sign -3.33457513
## Driver distracted by other inside the vehicle-Disregarded stop sign -2.23241597
## Drug use-Disregarded stop sign -2.66407883
## Exceeded authorized speed limit-Disregarded stop sign -1.44233333
## Exceeded safe speed for conditions-Disregarded stop sign 1.27458692
## Failed to yield right of way-Disregarded stop sign 4.74574200
## Failure to reduce speed-Disregarded stop sign 16.69043191
## Followed too closely-Disregarded stop sign -1.12506757
## Improper backing-Disregarded stop sign 3.82295769
## Improper lane change-Disregarded stop sign 1.83826929
## Improper or no signal-Disregarded stop sign -3.17222323
## Improper parking-Disregarded stop sign -0.18996028
## Improper turn-Disregarded stop sign 0.46798028
## Inattention-Disregarded stop sign 5.01662390
## No contributing circumstances indicated-Disregarded stop sign 54.19262248
## Operated defective equipment-Disregarded stop sign -1.51035654
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded stop sign -0.98001325
## Other improper passing-Disregarded stop sign -1.24836651
## Other*-Disregarded stop sign -0.56653304
## Overcorrected/oversteered-Disregarded stop sign -1.01875456
## Passed on curve-Disregarded stop sign -9.57194515
## Passed on hill-Disregarded stop sign -12.73943265
## Passed stopped school bus-Disregarded stop sign -9.57194515
## Right turn on red-Disregarded stop sign -2.80506535
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded stop sign -1.09141361
## Unable to determine-Disregarded stop sign 3.04474953
## Use of improper lane-Disregarded stop sign -1.35004786
## Visibility obstructed-Disregarded stop sign -1.97295187
## Disregarded yield sign-Disregarded traffic signals -3.33779143
## Driver distracted-Disregarded traffic signals -2.46365289
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded traffic signals -3.02050567
## Driver distracted by external distraction (outside vehicle)-Disregarded traffic signals -3.92793913
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded traffic signals -4.11011416
## Driver distracted by other inside the vehicle-Disregarded traffic signals -2.94906393
## Drug use-Disregarded traffic signals -3.41285667
## Exceeded authorized speed limit-Disregarded traffic signals -2.08374150
## Exceeded safe speed for conditions-Disregarded traffic signals 0.66369918
## Failed to yield right of way-Disregarded traffic signals 4.18056273
## Failure to reduce speed-Disregarded traffic signals 16.12580331
## Followed too closely-Disregarded traffic signals -1.75255146
## Improper backing-Disregarded traffic signals 3.25775621
## Improper lane change-Disregarded traffic signals 1.27089055
## Improper or no signal-Disregarded traffic signals -3.94145404
## Improper parking-Disregarded traffic signals -0.76604460
## Improper turn-Disregarded traffic signals -0.10237906
## Inattention-Disregarded traffic signals 4.45168801
## No contributing circumstances indicated-Disregarded traffic signals 53.62803755
## Operated defective equipment-Disregarded traffic signals -2.15732968
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded traffic signals -1.58090995
## Other improper passing-Disregarded traffic signals -1.87207555
## Other*-Disregarded traffic signals -1.15205907
## Overcorrected/oversteered-Disregarded traffic signals -1.62165350
## Passed on curve-Disregarded traffic signals -10.41618024
## Passed on hill-Disregarded traffic signals -13.59235797
## Passed stopped school bus-Disregarded traffic signals -10.41618024
## Right turn on red-Disregarded traffic signals -3.55955090
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded traffic signals -1.71004836
## Unable to determine-Disregarded traffic signals 2.47653358
## Use of improper lane-Disregarded traffic signals -1.98181695
## Visibility obstructed-Disregarded traffic signals -2.67497326
## Driver distracted-Disregarded yield sign -2.51511877
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded yield sign -2.90205487
## Driver distracted by external distraction (outside vehicle)-Disregarded yield sign -3.58545248
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded yield sign -3.73112538
## Driver distracted by other inside the vehicle-Disregarded yield sign -2.85324230
## Drug use-Disregarded yield sign -3.17147759
## Exceeded authorized speed limit-Disregarded yield sign -2.25925838
## Exceeded safe speed for conditions-Disregarded yield sign 0.39964045
## Failed to yield right of way-Disregarded yield sign 3.80094953
## Failure to reduce speed-Disregarded yield sign 15.74490442
## Followed too closely-Disregarded yield sign -1.96974254
## Improper backing-Disregarded yield sign 2.87819492
## Improper lane change-Disregarded yield sign 0.89643581
## Improper or no signal-Disregarded yield sign -3.59630310
## Improper parking-Disregarded yield sign -1.11971093
## Improper turn-Disregarded yield sign -0.46978369
## Inattention-Disregarded yield sign 4.07150629
## No contributing circumstances indicated-Disregarded yield sign 53.24703679
## Operated defective equipment-Disregarded yield sign -2.31554534
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded yield sign -1.87183027
## Other improper passing-Disregarded yield sign -2.10018507
## Other*-Disregarded yield sign -1.48248146
## Overcorrected/oversteered-Disregarded yield sign -1.90726812
## Passed on curve-Disregarded yield sign -9.61553781
## Passed on hill-Disregarded yield sign -12.73276571
## Passed stopped school bus-Disregarded yield sign -9.61553781
## Right turn on red-Disregarded yield sign -3.29011513
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded yield sign -1.95259146
## Unable to determine-Disregarded yield sign 2.10405213
## Use of improper lane-Disregarded yield sign -2.18642120
## Visibility obstructed-Disregarded yield sign -2.63892368
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Driver distracted -2.39976193
## Driver distracted by external distraction (outside vehicle)-Driver distracted -3.21171411
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted -3.37953452
## Driver distracted by other inside the vehicle-Driver distracted -2.33877779
## Drug use-Driver distracted -2.73803645
## Exceeded authorized speed limit-Driver distracted -1.61337359
## Exceeded safe speed for conditions-Driver distracted 1.08177615
## Failed to yield right of way-Driver distracted 4.52480726
## Failure to reduce speed-Driver distracted 16.46918927
## Followed too closely-Driver distracted -1.30634963
## Improper backing-Driver distracted 3.60203538
## Improper lane change-Driver distracted 1.61857145
## Improper or no signal-Driver distracted -3.22417124
## Improper parking-Driver distracted -0.40465028
## Improper turn-Driver distracted 0.24997677
## Inattention-Driver distracted 4.79555299
## No contributing circumstances indicated-Driver distracted 53.97135545
## Operated defective equipment-Driver distracted -1.67715557
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted -1.17941731
## Other improper passing-Driver distracted -1.43233499
## Other*-Driver distracted -0.77558574
## Overcorrected/oversteered-Driver distracted -1.21685786
## Passed on curve-Driver distracted -9.53596976
## Passed on hill-Driver distracted -12.69277532
## Passed stopped school bus-Driver distracted -9.53596976
## Right turn on red-Driver distracted -2.87298414
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted -1.27893343
## Unable to determine-Driver distracted 2.82552548
## Use of improper lane-Driver distracted -1.52823396
## Visibility obstructed-Driver distracted -2.09313297
## Driver distracted by external distraction (outside vehicle)-Driver distracted by electronic communication device (cell phone, texting, etc.) -3.36911642
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted by electronic communication device (cell phone, texting, etc.) -3.52404994
## Driver distracted by other inside the vehicle-Driver distracted by electronic communication device (cell phone, texting, etc.) -2.58076997
## Drug use-Driver distracted by electronic communication device (cell phone, texting, etc.) -2.93072577
## Exceeded authorized speed limit-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.93931810
## Exceeded safe speed for conditions-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.73171338
## Failed to yield right of way-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.14643475
## Failure to reduce speed-Driver distracted by electronic communication device (cell phone, texting, etc.) 16.09052382
## Followed too closely-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.64388792
## Improper backing-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.22367471
## Improper lane change-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.24137936
## Improper or no signal-Driver distracted by electronic communication device (cell phone, texting, etc.) -3.38063522
## Improper parking-Driver distracted by electronic communication device (cell phone, texting, etc.) -0.77700361
## Improper turn-Driver distracted by electronic communication device (cell phone, texting, etc.) -0.12558893
## Inattention-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.41705088
## No contributing circumstances indicated-Driver distracted by electronic communication device (cell phone, texting, etc.) 53.59266681
## Operated defective equipment-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.99816769
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.53639801
## Other improper passing-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.77284101
## Other*-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.14237653
## Overcorrected/oversteered-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.57248766
## Passed on curve-Driver distracted by electronic communication device (cell phone, texting, etc.) -9.52898440
## Passed on hill-Driver distracted by electronic communication device (cell phone, texting, etc.) -12.66446358
## Passed stopped school bus-Driver distracted by electronic communication device (cell phone, texting, etc.) -9.52898440
## Right turn on red-Driver distracted by electronic communication device (cell phone, texting, etc.) -3.05595061
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.62331655
## Unable to determine-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.44878709
## Use of improper lane-Driver distracted by electronic communication device (cell phone, texting, etc.) -1.86231450
## Visibility obstructed-Driver distracted by electronic communication device (cell phone, texting, etc.) -2.35466631
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted by external distraction (outside vehicle) -4.08182081
## Driver distracted by other inside the vehicle-Driver distracted by external distraction (outside vehicle) -3.30474621
## Drug use-Driver distracted by external distraction (outside vehicle) -3.57600544
## Exceeded authorized speed limit-Driver distracted by external distraction (outside vehicle) -2.77434798
## Exceeded safe speed for conditions-Driver distracted by external distraction (outside vehicle) -0.13044326
## Failed to yield right of way-Driver distracted by external distraction (outside vehicle) 3.25486805
## Failure to reduce speed-Driver distracted by external distraction (outside vehicle) 15.19866591
## Followed too closely-Driver distracted by external distraction (outside vehicle) -2.49220399
## Improper backing-Driver distracted by external distraction (outside vehicle) 2.33211979
## Improper lane change-Driver distracted by external distraction (outside vehicle) 0.35098881
## Improper or no signal-Driver distracted by external distraction (outside vehicle) -3.96111771
## Improper parking-Driver distracted by external distraction (outside vehicle) -1.66252826
## Improper turn-Driver distracted by external distraction (outside vehicle) -1.01435200
## Inattention-Driver distracted by external distraction (outside vehicle) 3.52535531
## No contributing circumstances indicated-Driver distracted by external distraction (outside vehicle) 52.70078585
## Operated defective equipment-Driver distracted by external distraction (outside vehicle) -2.82740356
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by external distraction (outside vehicle) -2.40597740
## Other improper passing-Driver distracted by external distraction (outside vehicle) -2.62448418
## Other*-Driver distracted by external distraction (outside vehicle) -2.02221763
## Overcorrected/oversteered-Driver distracted by external distraction (outside vehicle) -2.44062980
## Passed on curve-Driver distracted by external distraction (outside vehicle) -9.74350744
## Passed on hill-Driver distracted by external distraction (outside vehicle) -12.82385077
## Passed stopped school bus-Driver distracted by external distraction (outside vehicle) -9.74350744
## Right turn on red-Driver distracted by external distraction (outside vehicle) -3.68443245
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by external distraction (outside vehicle) -2.47926162
## Unable to determine-Driver distracted by external distraction (outside vehicle) 1.55884972
## Use of improper lane-Driver distracted by external distraction (outside vehicle) -2.70671642
## Visibility obstructed-Driver distracted by external distraction (outside vehicle) -3.10695823
## Driver distracted by other inside the vehicle-Driver distracted by other electronic device (navigation device, DVD player, etc.) -3.49061107
## Drug use-Driver distracted by other electronic device (navigation device, DVD player, etc.) -3.74767928
## Exceeded authorized speed limit-Driver distracted by other electronic device (navigation device, DVD player, etc.) -2.97816443
## Exceeded safe speed for conditions-Driver distracted by other electronic device (navigation device, DVD player, etc.) -0.33827904
## Failed to yield right of way-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.04283431
## Failure to reduce speed-Driver distracted by other electronic device (navigation device, DVD player, etc.) 14.98659142
## Followed too closely-Driver distracted by other electronic device (navigation device, DVD player, etc.) -2.69800678
## Improper backing-Driver distracted by other electronic device (navigation device, DVD player, etc.) 2.12008770
## Improper lane change-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.13911978
## Improper or no signal-Driver distracted by other electronic device (navigation device, DVD player, etc.) -4.12019811
## Improper parking-Driver distracted by other electronic device (navigation device, DVD player, etc.) -1.87371303
## Improper turn-Driver distracted by other electronic device (navigation device, DVD player, etc.) -1.22599267
## Inattention-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.31330354
## No contributing circumstances indicated-Driver distracted by other electronic device (navigation device, DVD player, etc.) 52.48870815
## Operated defective equipment-Driver distracted by other electronic device (navigation device, DVD player, etc.) -3.03034308
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by other electronic device (navigation device, DVD player, etc.) -2.61488830
## Other improper passing-Driver distracted by other electronic device (navigation device, DVD player, etc.) -2.83077905
## Other*-Driver distracted by other electronic device (navigation device, DVD player, etc.) -2.23259747
## Overcorrected/oversteered-Driver distracted by other electronic device (navigation device, DVD player, etc.) -2.64933335
## Passed on curve-Driver distracted by other electronic device (navigation device, DVD player, etc.) -9.81778998
## Passed on hill-Driver distracted by other electronic device (navigation device, DVD player, etc.) -12.88380562
## Passed stopped school bus-Driver distracted by other electronic device (navigation device, DVD player, etc.) -9.81778998
## Right turn on red-Driver distracted by other electronic device (navigation device, DVD player, etc.) -3.85291978
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by other electronic device (navigation device, DVD player, etc.) -2.68618957
## Unable to determine-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.34704423
## Use of improper lane-Driver distracted by other electronic device (navigation device, DVD player, etc.) -2.91193758
## Visibility obstructed-Driver distracted by other electronic device (navigation device, DVD player, etc.) -3.29763045
## Drug use-Driver distracted by other inside the vehicle -2.88664972
## Exceeded authorized speed limit-Driver distracted by other inside the vehicle -1.87690164
## Exceeded safe speed for conditions-Driver distracted by other inside the vehicle 0.79714437
## Failed to yield right of way-Driver distracted by other inside the vehicle 4.21527465
## Failure to reduce speed-Driver distracted by other inside the vehicle 16.15939826
## Followed too closely-Driver distracted by other inside the vehicle -1.58000986
## Improper backing-Driver distracted by other inside the vehicle 3.29251322
## Improper lane change-Driver distracted by other inside the vehicle 1.31007997
## Improper or no signal-Driver distracted by other inside the vehicle -3.34198127
## Improper parking-Driver distracted by other inside the vehicle -0.70887663
## Improper turn-Driver distracted by other inside the vehicle -0.05708066
## Inattention-Driver distracted by other inside the vehicle 4.48590606
## No contributing circumstances indicated-Driver distracted by other inside the vehicle 53.66154398
## Operated defective equipment-Driver distracted by other inside the vehicle -1.93637997
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by other inside the vehicle -1.47012095
## Other improper passing-Driver distracted by other inside the vehicle -1.70859253
## Other*-Driver distracted by other inside the vehicle -1.07491411
## Overcorrected/oversteered-Driver distracted by other inside the vehicle -1.50637516
## Passed on curve-Driver distracted by other inside the vehicle -9.51642665
## Passed on hill-Driver distracted by other inside the vehicle -12.65544195
## Passed stopped school bus-Driver distracted by other inside the vehicle -9.51642665
## Right turn on red-Driver distracted by other inside the vehicle -3.01331359
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by other inside the vehicle -1.55858643
## Unable to determine-Driver distracted by other inside the vehicle 2.51743409
## Use of improper lane-Driver distracted by other inside the vehicle -1.79886995
## Visibility obstructed-Driver distracted by other inside the vehicle -2.30077560
## Exceeded authorized speed limit-Drug use -2.39241626
## Exceeded safe speed for conditions-Drug use 0.26316552
## Failed to yield right of way-Drug use 3.66088526
## Failure to reduce speed-Drug use 15.60480465
## Followed too closely-Drug use -2.10452567
## Improper backing-Drug use 2.73813208
## Improper lane change-Drug use 0.75651491
## Improper or no signal-Drug use -3.69836731
## Improper parking-Drug use -1.25903853
## Improper turn-Drug use -0.60950618
## Inattention-Drug use 3.93142631
## No contributing circumstances indicated-Drug use 53.10693421
## Operated defective equipment-Drug use -2.44799416
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Drug use -2.00921190
## Other improper passing-Drug use -2.23537501
## Other*-Drug use -1.62111573
## Overcorrected/oversteered-Drug use -2.04447422
## Passed on curve-Drug use -9.67397954
## Passed on hill-Drug use -12.78475095
## Passed stopped school bus-Drug use -9.67397954
## Right turn on red-Drug use -3.39801219
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Drug use -2.08830729
## Unable to determine-Drug use 1.96418647
## Use of improper lane-Drug use -2.32072564
## Visibility obstructed-Drug use -2.76194845
## Exceeded safe speed for conditions-Exceeded authorized speed limit 1.22592187
## Failed to yield right of way-Exceeded authorized speed limit 4.69466825
## Failure to reduce speed-Exceeded authorized speed limit 16.63933101
## Followed too closely-Exceeded authorized speed limit -1.17278332
## Improper backing-Exceeded authorized speed limit 3.77188503
## Improper lane change-Exceeded authorized speed limit 1.78730446
## Improper or no signal-Exceeded authorized speed limit -3.21038964
## Improper parking-Exceeded authorized speed limit -0.24048707
## Improper turn-Exceeded authorized speed limit 0.41716417
## Inattention-Exceeded authorized speed limit 4.96553814
## No contributing circumstances indicated-Exceeded authorized speed limit 54.14151942
## Operated defective equipment-Exceeded authorized speed limit -1.55690801
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Exceeded authorized speed limit -1.02923075
## Other improper passing-Exceeded authorized speed limit -1.29630163
## Other*-Exceeded authorized speed limit -0.61657220
## Overcorrected/oversteered-Exceeded authorized speed limit -1.06786250
## Passed on curve-Exceeded authorized speed limit -9.60430791
## Passed on hill-Exceeded authorized speed limit -12.77110692
## Passed stopped school bus-Exceeded authorized speed limit -9.60430791
## Right turn on red-Exceeded authorized speed limit -2.84432777
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Exceeded authorized speed limit -1.13964041
## Unable to determine-Exceeded authorized speed limit 2.99382634
## Use of improper lane-Exceeded authorized speed limit -1.39751216
## Visibility obstructed-Exceeded authorized speed limit -2.01594126
## Failed to yield right of way-Exceeded safe speed for conditions 2.29174767
## Failure to reduce speed-Exceeded safe speed for conditions 14.23666524
## Followed too closely-Exceeded safe speed for conditions -3.60614593
## Improper backing-Exceeded safe speed for conditions 1.36895418
## Improper lane change-Exceeded safe speed for conditions -0.61663650
## Improper or no signal-Exceeded safe speed for conditions -5.72249794
## Improper parking-Exceeded safe speed for conditions -2.64850750
## Improper turn-Exceeded safe speed for conditions -1.98816621
## Inattention-Exceeded safe speed for conditions 2.56273022
## No contributing circumstances indicated-Exceeded safe speed for conditions 51.73887385
## Operated defective equipment-Exceeded safe speed for conditions -4.00039902
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Exceeded safe speed for conditions -3.44922478
## Other improper passing-Exceeded safe speed for conditions -3.72773383
## Other*-Exceeded safe speed for conditions -3.02908938
## Overcorrected/oversteered-Exceeded safe speed for conditions -3.48884441
## Passed on curve-Exceeded safe speed for conditions -12.16133521
## Passed on hill-Exceeded safe speed for conditions -15.33340259
## Passed stopped school bus-Exceeded safe speed for conditions -12.16133521
## Right turn on red-Exceeded safe speed for conditions -5.34778814
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Exceeded safe speed for conditions -3.56849423
## Unable to determine-Exceeded safe speed for conditions 0.58949588
## Use of improper lane-Exceeded safe speed for conditions -3.83307872
## Visibility obstructed-Exceeded safe speed for conditions -4.48936805
## Failure to reduce speed-Failed to yield right of way 11.12482736
## Followed too closely-Failed to yield right of way -6.76569684
## Improper backing-Failed to yield right of way -1.74334342
## Improper lane change-Failed to yield right of way -3.73067662
## Improper or no signal-Failed to yield right of way -8.97572048
## Improper parking-Failed to yield right of way -5.76944267
## Improper turn-Failed to yield right of way -5.10457992
## Inattention-Failed to yield right of way -0.54935432
## No contributing circumstances indicated-Failed to yield right of way 48.62707104
## Operated defective equipment-Failed to yield right of way -7.17378664
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Failed to yield right of way -6.58922005
## Other improper passing-Failed to yield right of way -6.88455811
## Other*-Failed to yield right of way -6.15737707
## Overcorrected/oversteered-Failed to yield right of way -6.63034204
## Passed on curve-Failed to yield right of way -15.45998980
## Passed on hill-Failed to yield right of way -18.63724586
## Passed stopped school bus-Failed to yield right of way -15.45998980
## Right turn on red-Failed to yield right of way -8.59185995
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Failed to yield right of way -6.72162815
## Unable to determine-Failed to yield right of way -2.52521231
## Use of improper lane-Failed to yield right of way -6.99570601
## Visibility obstructed-Failed to yield right of way -7.69996253
## Followed too closely-Failure to reduce speed -18.70725850
## Improper backing-Failure to reduce speed -13.68432157
## Improper lane change-Failure to reduce speed -15.67167787
## Improper or no signal-Failure to reduce speed -20.91826303
## Improper parking-Failure to reduce speed -17.71053399
## Improper turn-Failure to reduce speed -17.04561242
## Inattention-Failure to reduce speed -12.49032963
## No contributing circumstances indicated-Failure to reduce speed 36.68609947
## Operated defective equipment-Failure to reduce speed -19.11550502
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Failure to reduce speed -18.53055021
## Other improper passing-Failure to reduce speed -18.82608823
## Other*-Failure to reduce speed -18.09856222
## Overcorrected/oversteered-Failure to reduce speed -18.57169045
## Passed on curve-Failure to reduce speed -27.40296611
## Passed on hill-Failure to reduce speed -30.58027103
## Passed stopped school bus-Failure to reduce speed -27.40296611
## Right turn on red-Failure to reduce speed -20.53431308
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Failure to reduce speed -18.66311522
## Unable to determine-Failure to reduce speed -14.46622238
## Use of improper lane-Failure to reduce speed -18.93730299
## Visibility obstructed-Failure to reduce speed -19.64207909
## Improper backing-Followed too closely 3.60711921
## Improper lane change-Followed too closely 1.62209038
## Improper or no signal-Followed too closely -3.42672745
## Improper parking-Followed too closely -0.40751830
## Improper turn-Followed too closely 0.25133242
## Inattention-Followed too closely 4.80082682
## No contributing circumstances indicated-Followed too closely 53.97688007
## Operated defective equipment-Followed too closely -1.74016625
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Followed too closely -1.20165680
## Other improper passing-Followed too closely -1.47396211
## Other*-Followed too closely -0.78561894
## Overcorrected/oversteered-Followed too closely -1.24073759
## Passed on curve-Followed too closely -9.84302250
## Passed on hill-Followed too closely -13.01246330
## Passed stopped school bus-Followed too closely -9.84302250
## Right turn on red-Followed too closely -3.05640534
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Followed too closely -1.31611435
## Unable to determine-Followed too closely 2.82843924
## Use of improper lane-Followed too closely -1.57708298
## Visibility obstructed-Followed too closely -2.21340540
## Improper lane change-Improper backing -2.80804135
## Improper or no signal-Improper backing -8.05302298
## Improper parking-Improper backing -4.84680377
## Improper turn-Improper backing -4.18194340
## Inattention-Improper backing 0.37327991
## No contributing circumstances indicated-Improper backing 49.54970511
## Operated defective equipment-Improper backing -6.25112244
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper backing -5.66657152
## Other improper passing-Improper backing -5.96190152
## Other*-Improper backing -5.23473439
## Overcorrected/oversteered-Improper backing -5.70769278
## Passed on curve-Improper backing -14.53727477
## Passed on hill-Improper backing -17.71452884
## Passed stopped school bus-Improper backing -14.53727477
## Right turn on red-Improper backing -7.66916607
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper backing -5.79897330
## Unable to determine-Improper backing -1.60257669
## Use of improper lane-Improper backing -6.07304672
## Visibility obstructed-Improper backing -6.77728226
## Improper or no signal-Improper lane change -6.07692115
## Improper parking-Improper lane change -2.87647026
## Improper turn-Improper lane change -2.21184136
## Inattention-Improper lane change 2.34315722
## No contributing circumstances indicated-Improper lane change 51.51956769
## Operated defective equipment-Improper lane change -4.27830850
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper lane change -3.69529599
## Other improper passing-Improper lane change -3.98983466
## Other*-Improper lane change -3.26403125
## Overcorrected/oversteered-Improper lane change -3.73634516
## Passed on curve-Improper lane change -12.55943555
## Passed on hill-Improper lane change -15.73649377
## Passed stopped school bus-Improper lane change -12.55943555
## Right turn on red-Improper lane change -5.69342201
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper lane change -3.82707701
## Unable to determine-Improper lane change 0.36743718
## Use of improper lane-Improper lane change -4.10071477
## Visibility obstructed-Improper lane change -4.80288286
## Improper parking-Improper or no signal -1.67645049
## Improper turn-Improper or no signal -1.02830807
## Inattention-Improper or no signal 3.51136873
## No contributing circumstances indicated-Improper or no signal 52.68679735
## Operated defective equipment-Improper or no signal -2.84071649
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper or no signal -2.41973114
## Other improper passing-Improper or no signal -2.63804450
## Other*-Improper or no signal -2.03608018
## Overcorrected/oversteered-Improper or no signal -2.45436819
## Passed on curve-Improper or no signal -9.74776345
## Passed on hill-Improper or no signal -12.82713175
## Passed stopped school bus-Improper or no signal -9.74776345
## Right turn on red-Improper or no signal -3.69524592
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper or no signal -2.49286871
## Unable to determine-Improper or no signal 1.54488142
## Use of improper lane-Improper or no signal -2.72019749
## Visibility obstructed-Improper or no signal -3.11937297
## Improper turn-Improper parking -0.24397696
## Inattention-Improper parking 4.31014355
## No contributing circumstances indicated-Improper parking 53.48649658
## Operated defective equipment-Improper parking -2.29960043
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper parking -1.72279290
## Other improper passing-Improper parking -2.01415610
## Other*-Improper parking -1.29380174
## Overcorrected/oversteered-Improper parking -1.76355428
## Passed on curve-Improper parking -10.55979554
## Passed on hill-Improper parking -13.73602698
## Passed stopped school bus-Improper parking -10.55979554
## Right turn on red-Improper parking -3.70259534
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper parking -1.85208597
## Unable to determine-Improper parking 2.33495669
## Use of improper lane-Improper parking -2.12396460
## Visibility obstructed-Improper parking -2.81765788
## Inattention-Improper turn 3.69284845
## No contributing circumstances indicated-Improper turn 52.86923900
## Operated defective equipment-Improper turn -2.92460047
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper turn -2.34370278
## Other improper passing-Improper turn -2.63715625
## Other*-Improper turn -1.91321917
## Overcorrected/oversteered-Improper turn -2.38465333
## Passed on curve-Improper turn -11.19871439
## Passed on hill-Improper turn -14.37549757
## Passed stopped school bus-Improper turn -11.19871439
## Right turn on red-Improper turn -4.33563824
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper turn -2.47463302
## Unable to determine-Improper turn 1.71731325
## Use of improper lane-Improper turn -2.74767156
## Visibility obstructed-Improper turn -3.44697582
## No contributing circumstances indicated-Inattention 48.35783407
## Operated defective equipment-Inattention -7.44335366
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Inattention -6.85861544
## Other improper passing-Inattention -7.15404189
## Other*-Inattention -6.42670839
## Overcorrected/oversteered-Inattention -6.89974550
## Passed on curve-Inattention -15.73011343
## Passed on hill-Inattention -18.90739111
## Passed stopped school bus-Inattention -15.73011343
## Right turn on red-Inattention -8.86175201
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Inattention -6.99109290
## Unable to determine-Inattention -2.79446629
## Use of improper lane-Inattention -7.26521935
## Visibility obstructed-Inattention -7.96970567
## Operated defective equipment-No contributing circumstances indicated -56.61746044
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-No contributing circumstances indicated -56.03247486
## Other improper passing-No contributing circumstances indicated -56.32802873
## Other*-No contributing circumstances indicated -55.60047537
## Overcorrected/oversteered-No contributing circumstances indicated -56.07361655
## Passed on curve-No contributing circumstances indicated -64.90502108
## Passed on hill-No contributing circumstances indicated -68.08232987
## Passed stopped school bus-No contributing circumstances indicated -64.90502108
## Right turn on red-No contributing circumstances indicated -58.03632667
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-No contributing circumstances indicated -56.16505231
## Unable to determine-No contributing circumstances indicated -51.96812163
## Use of improper lane-No contributing circumstances indicated -56.43924879
## Visibility obstructed-No contributing circumstances indicated -57.14406604
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Operated defective equipment -1.02417232
## Other improper passing-Operated defective equipment -1.28914463
## Other*-Operated defective equipment -0.61285001
## Overcorrected/oversteered-Operated defective equipment -1.06262540
## Passed on curve-Operated defective equipment -9.57074205
## Passed on hill-Operated defective equipment -12.73635027
## Passed stopped school bus-Operated defective equipment -9.57074205
## Right turn on red-Operated defective equipment -2.82262621
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Operated defective equipment -1.13296212
## Unable to determine-Operated defective equipment 2.99611846
## Use of improper lane-Operated defective equipment -1.38958084
## Visibility obstructed-Operated defective equipment -2.00055655
## Other improper passing-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -1.39450805
## Other*-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -0.68964517
## Overcorrected/oversteered-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -1.15223133
## Passed on curve-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -9.86322180
## Passed on hill-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -13.03664761
## Passed stopped school bus-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -9.86322180
## Right turn on red-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -3.03556600
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -1.23444313
## Unable to determine-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 2.93176053
## Use of improper lane-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -1.50116281
## Visibility obstructed-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner -2.16879003
## Other*-Other improper passing -0.62497401
## Overcorrected/oversteered-Other improper passing -1.08114009
## Passed on curve-Other improper passing -9.70013435
## Passed on hill-Other improper passing -12.87021795
## Passed stopped school bus-Other improper passing -9.70013435
## Right turn on red-Other improper passing -2.90696843
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Other improper passing -1.15749047
## Unable to determine-Other improper passing 2.99009744
## Use of improper lane-Other improper passing -1.41928890
## Visibility obstructed-Other improper passing -2.06028037
## Overcorrected/oversteered-Other* -1.45115727
## Passed on curve-Other* -10.21656507
## Passed on hill-Other* -13.39181365
## Passed stopped school bus-Other* -10.21656507
## Right turn on red-Other* -3.36977801
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Other* -1.53729205
## Unable to determine-Other* 2.64174366
## Use of improper lane-Other* -1.80723242
## Visibility obstructed-Other* -2.49134788
## Passed on curve-Overcorrected/oversteered -9.83290297
## Passed on hill-Overcorrected/oversteered -13.00606841
## Passed stopped school bus-Overcorrected/oversteered -9.83290297
## Right turn on red-Overcorrected/oversteered -3.00796111
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Overcorrected/oversteered -1.21111848
## Unable to determine-Overcorrected/oversteered 2.95343134
## Use of improper lane-Overcorrected/oversteered -1.47741284
## Visibility obstructed-Overcorrected/oversteered -2.14280787
## Passed on hill-Passed on curve -15.58435086
## Passed stopped school bus-Passed on curve -13.17118044
## Right turn on red-Passed on curve -9.58224259
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed on curve -8.88128015
## Unable to determine-Passed on curve -4.89655140
## Use of improper lane-Passed on curve -9.08957256
## Visibility obstructed-Passed on curve -9.31542362
## Passed stopped school bus-Passed on hill -15.58435086
## Right turn on red-Passed on hill -12.68570393
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed on hill -12.05218410
## Unable to determine-Passed on hill -8.07353318
## Use of improper lane-Passed on hill -12.25824765
## Visibility obstructed-Passed on hill -12.46263989
## Right turn on red-Passed stopped school bus -9.58224259
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed stopped school bus -8.88128015
## Unable to determine-Passed stopped school bus -4.89655140
## Use of improper lane-Passed stopped school bus -9.08957256
## Visibility obstructed-Passed stopped school bus -9.31542362
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Right turn on red -2.17132071
## Unable to determine-Right turn on red 1.87704219
## Use of improper lane-Right turn on red -2.40232458
## Visibility obstructed-Right turn on red -2.83207524
## Unable to determine-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist 2.88298341
## Use of improper lane-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist -1.53161047
## Visibility obstructed-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist -2.17875894
## Use of improper lane-Unable to determine -5.31200015
## Visibility obstructed-Unable to determine -6.01336777
## Visibility obstructed-Use of improper lane -2.02359842
## upr
## Alcohol use- -40.74601858
## Crossed centerline/going wrong way- -40.81239703
## Disregarded other traffic signs- -40.53271787
## Disregarded road markings- -40.69086935
## Disregarded stop sign- -40.83197798
## Disregarded traffic signals- -40.26741486
## Disregarded yield sign- -39.88636322
## Driver distracted- -40.61069877
## Driver distracted by electronic communication device (cell phone, texting, etc.)- -40.23199854
## Driver distracted by external distraction (outside vehicle)- -39.34010608
## Driver distracted by other electronic device (navigation device, DVD player, etc.)- -39.12802676
## Driver distracted by other inside the vehicle- -40.30087708
## Drug use- -39.74625924
## Exceeded authorized speed limit- -40.78087384
## Exceeded safe speed for conditions- -38.37823837
## Failed to yield right of way- -35.26645307
## Failure to reduce speed- -23.32548174
## Followed too closely- -40.61623897
## Improper backing- -36.18908713
## Improper lane change- -38.15894879
## Improper or no signal- -39.32611746
## Improper parking- -40.12587411
## Improper turn- -39.50861887
## Inattention- -34.99721621
## No contributing circumstances indicated- 14.17641443
## Operated defective equipment- -40.78287426
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner- -40.72109778
## Other improper passing- -40.77810696
## Other*- -40.43204109
## Overcorrected/oversteered- -40.74264764
## Passed on curve- -32.88176698
## Passed on hill- -29.70445626
## Passed stopped school bus- -32.88176698
## Right turn on red- -39.65887900
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist- -40.67127916
## Unable to determine- -36.94671496
## Use of improper lane- -40.79604099
## Visibility obstructed- -40.37212892
## Crossed centerline/going wrong way-Alcohol use 1.28493899
## Disregarded other traffic signs-Alcohol use 1.50436732
## Disregarded road markings-Alcohol use 1.38023419
## Disregarded stop sign-Alcohol use 1.25829583
## Disregarded traffic signals-Alcohol use 1.88611194
## Disregarded yield sign-Alcohol use 2.10233457
## Driver distracted-Alcohol use 1.43933963
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Alcohol use 1.77661326
## Driver distracted by external distraction (outside vehicle)-Alcohol use 2.62463117
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Alcohol use 2.83038976
## Driver distracted by other inside the vehicle-Alcohol use 1.71276831
## Drug use-Alcohol use 2.23708123
## Exceeded authorized speed limit-Alcohol use 1.30599218
## Exceeded safe speed for conditions-Alcohol use 3.73952518
## Failed to yield right of way-Alcohol use 6.89931531
## Failure to reduce speed-Alcohol use 18.84087972
## Followed too closely-Alcohol use 1.48462219
## Improper backing-Alcohol use 5.97665733
## Improper lane change-Alcohol use 4.00445451
## Improper or no signal-Alcohol use 2.63815190
## Improper parking-Alcohol use 2.02822685
## Improper turn-Alcohol use 2.65158909
## Inattention-Alcohol use 7.16881425
## No contributing circumstances indicated-Alcohol use 56.34282294
## Operated defective equipment-Alcohol use 1.29844275
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Alcohol use 1.40696704
## Other improper passing-Alcohol use 1.32657678
## Other*-Alcohol use 1.71207234
## Overcorrected/oversteered-Alcohol use 1.38334481
## Passed on curve-Alcohol use 9.01354876
## Passed on hill-Alcohol use 12.18293160
## Passed stopped school bus-Alcohol use 9.01354876
## Right turn on red-Alcohol use 2.31912388
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Alcohol use 1.43856306
## Unable to determine-Alcohol use 5.21578971
## Use of improper lane-Alcohol use 1.30049580
## Visibility obstructed-Alcohol use 1.65547790
## Disregarded other traffic signs-Crossed centerline/going wrong way 1.60094131
## Disregarded road markings-Crossed centerline/going wrong way 1.47880313
## Disregarded stop sign-Crossed centerline/going wrong way 1.35792649
## Disregarded traffic signals-Crossed centerline/going wrong way 1.98890242
## Disregarded yield sign-Crossed centerline/going wrong way 2.19585206
## Driver distracted-Crossed centerline/going wrong way 1.53668937
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Crossed centerline/going wrong way 1.87141715
## Driver distracted by external distraction (outside vehicle)-Crossed centerline/going wrong way 2.71655484
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Crossed centerline/going wrong way 2.92188556
## Driver distracted by other inside the vehicle-Crossed centerline/going wrong way 1.80789130
## Drug use-Crossed centerline/going wrong way 2.33024649
## Exceeded authorized speed limit-Crossed centerline/going wrong way 1.40543753
## Exceeded safe speed for conditions-Crossed centerline/going wrong way 3.84059515
## Failed to yield right of way-Crossed centerline/going wrong way 7.00265452
## Failure to reduce speed-Crossed centerline/going wrong way 18.94424499
## Followed too closely-Crossed centerline/going wrong way 1.58481897
## Improper backing-Crossed centerline/going wrong way 6.07999549
## Improper lane change-Crossed centerline/going wrong way 4.10768932
## Improper or no signal-Crossed centerline/going wrong way 2.73004400
## Improper parking-Crossed centerline/going wrong way 2.13104352
## Improper turn-Crossed centerline/going wrong way 2.75468161
## Inattention-Crossed centerline/going wrong way 7.27216498
## No contributing circumstances indicated-Crossed centerline/going wrong way 56.44619028
## Operated defective equipment-Crossed centerline/going wrong way 1.39758316
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Crossed centerline/going wrong way 1.50855041
## Other improper passing-Crossed centerline/going wrong way 1.42697436
## Other*-Crossed centerline/going wrong way 1.81442687
## Overcorrected/oversteered-Crossed centerline/going wrong way 1.48482605
## Passed on curve-Crossed centerline/going wrong way 9.10064873
## Passed on hill-Crossed centerline/going wrong way 12.26946855
## Passed stopped school bus-Crossed centerline/going wrong way 9.10064873
## Right turn on red-Crossed centerline/going wrong way 2.41193576
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Crossed centerline/going wrong way 1.53922855
## Unable to determine-Crossed centerline/going wrong way 5.31898464
## Use of improper lane-Crossed centerline/going wrong way 1.40046312
## Visibility obstructed-Crossed centerline/going wrong way 1.75147226
## Disregarded road markings-Disregarded other traffic signs 2.03802318
## Disregarded stop sign-Disregarded other traffic signs 1.93965100
## Disregarded traffic signals-Disregarded other traffic signs 2.63181209
## Disregarded yield sign-Disregarded other traffic signs 2.63396420
## Driver distracted-Disregarded other traffic signs 2.06881001
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded other traffic signs 2.34256448
## Driver distracted by external distraction (outside vehicle)-Disregarded other traffic signs 3.11177602
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded other traffic signs 3.30524538
## Driver distracted by other inside the vehicle-Disregarded other traffic signs 2.28700489
## Drug use-Disregarded other traffic signs 2.75906151
## Exceeded authorized speed limit-Disregarded other traffic signs 1.98330662
## Exceeded safe speed for conditions-Disregarded other traffic signs 4.45123976
## Failed to yield right of way-Disregarded other traffic signs 7.65534815
## Failure to reduce speed-Disregarded other traffic signs 19.59739739
## Followed too closely-Disregarded other traffic signs 2.17813381
## Improper backing-Disregarded other traffic signs 6.73267059
## Improper lane change-Disregarded other traffic signs 4.75853968
## Improper or no signal-Disregarded other traffic signs 3.12439471
## Improper parking-Disregarded other traffic signs 2.77442574
## Improper turn-Disregarded other traffic signs 3.40300620
## Inattention-Disregarded other traffic signs 7.92506151
## No contributing circumstances indicated-Disregarded other traffic signs 57.09937902
## Operated defective equipment-Disregarded other traffic signs 1.96904152
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded other traffic signs 2.12908036
## Other improper passing-Disregarded other traffic signs 2.02433262
## Other*-Disregarded other traffic signs 2.44939164
## Overcorrected/oversteered-Disregarded other traffic signs 2.10340719
## Passed on curve-Disregarded other traffic signs 9.35538995
## Passed on hill-Disregarded other traffic signs 12.50710442
## Passed stopped school bus-Disregarded other traffic signs 9.35538995
## Right turn on red-Disregarded other traffic signs 2.83131809
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded other traffic signs 2.14192714
## Unable to determine-Disregarded other traffic signs 5.96912881
## Use of improper lane-Disregarded other traffic signs 1.98911404
## Visibility obstructed-Disregarded other traffic signs 2.25186933
## Disregarded stop sign-Disregarded road markings 1.54922556
## Disregarded traffic signals-Disregarded road markings 2.20650475
## Disregarded yield sign-Disregarded road markings 2.33164507
## Driver distracted-Disregarded road markings 1.70794394
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded road markings 2.01934241
## Driver distracted by external distraction (outside vehicle)-Disregarded road markings 2.83703706
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded road markings 3.03821036
## Driver distracted by other inside the vehicle-Disregarded road markings 1.95879194
## Drug use-Disregarded road markings 2.46268104
## Exceeded authorized speed limit-Disregarded road markings 1.59514022
## Exceeded safe speed for conditions-Disregarded road markings 4.04409250
## Failed to yield right of way-Disregarded road markings 7.22464426
## Failure to reduce speed-Disregarded road markings 19.16644177
## Followed too closely-Disregarded road markings 1.78095865
## Improper backing-Disregarded road markings 6.30197687
## Improper lane change-Disregarded road markings 4.32884842
## Improper or no signal-Disregarded road markings 2.85022007
## Improper parking-Disregarded road markings 2.34885655
## Improper turn-Disregarded road markings 2.97470559
## Inattention-Disregarded road markings 7.49424627
## No contributing circumstances indicated-Disregarded road markings 56.66840346
## Operated defective equipment-Disregarded road markings 1.58464635
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded road markings 1.71631164
## Other improper passing-Disregarded road markings 1.62481769
## Other*-Disregarded road markings 2.02850505
## Overcorrected/oversteered-Disregarded road markings 1.69174276
## Passed on curve-Disregarded road markings 9.17340476
## Passed on hill-Disregarded road markings 12.33656779
## Passed stopped school bus-Disregarded road markings 9.17340476
## Right turn on red-Disregarded road markings 2.54098616
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded road markings 1.73933405
## Unable to determine-Disregarded road markings 5.53982601
## Use of improper lane-Disregarded road markings 1.59464738
## Visibility obstructed-Disregarded road markings 1.91042513
## Disregarded traffic signals-Disregarded stop sign 2.09251640
## Disregarded yield sign-Disregarded stop sign 2.27843454
## Driver distracted-Disregarded stop sign 1.62810723
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded stop sign 1.95698399
## Driver distracted by external distraction (outside vehicle)-Disregarded stop sign 2.79541798
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded stop sign 2.99974661
## Driver distracted by other inside the vehicle-Disregarded stop sign 1.89419570
## Drug use-Disregarded stop sign 2.41200893
## Exceeded authorized speed limit-Disregarded stop sign 1.50160747
## Exceeded safe speed for conditions-Disregarded stop sign 3.94040357
## Failed to yield right of way-Disregarded stop sign 7.10747129
## Failure to reduce speed-Disregarded stop sign 19.04911876
## Followed too closely-Disregarded stop sign 1.68267704
## Improper backing-Disregarded stop sign 6.18480996
## Improper lane change-Disregarded stop sign 4.21227765
## Improper or no signal-Disregarded stop sign 2.80883324
## Improper parking-Disregarded stop sign 2.23471505
## Improper turn-Disregarded stop sign 2.85895831
## Inattention-Disregarded stop sign 7.37700695
## No contributing circumstances indicated-Disregarded stop sign 56.55106856
## Operated defective equipment-Disregarded stop sign 1.49306557
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded stop sign 1.60949972
## Other improper passing-Disregarded stop sign 1.52528201
## Other*-Disregarded stop sign 1.91708144
## Overcorrected/oversteered-Disregarded stop sign 1.58554876
## Passed on curve-Disregarded stop sign 9.16815111
## Passed on hill-Disregarded stop sign 12.33563861
## Passed stopped school bus-Disregarded stop sign 9.16815111
## Right turn on red-Disregarded stop sign 2.49287436
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded stop sign 1.63813503
## Unable to determine-Disregarded stop sign 5.42348568
## Use of improper lane-Disregarded stop sign 1.49780662
## Visibility obstructed-Disregarded stop sign 1.83978489
## Disregarded yield sign-Disregarded traffic signals 1.26439639
## Driver distracted-Disregarded traffic signals 0.54978872
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded traffic signals 0.92183284
## Driver distracted by external distraction (outside vehicle)-Disregarded traffic signals 1.80704408
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded traffic signals 2.01818463
## Driver distracted by other inside the vehicle-Disregarded traffic signals 0.85374265
## Drug use-Disregarded traffic signals 1.40368576
## Exceeded authorized speed limit-Disregarded traffic signals 0.38591464
## Exceeded safe speed for conditions-Disregarded traffic signals 2.79419030
## Failed to yield right of way-Disregarded traffic signals 5.91554956
## Failure to reduce speed-Disregarded traffic signals 17.85664636
## Followed too closely-Disregarded traffic signals 0.55305992
## Improper backing-Disregarded traffic signals 4.99291044
## Improper lane change-Disregarded traffic signals 3.02255539
## Improper or no signal-Disregarded traffic signals 1.82096303
## Improper parking-Disregarded traffic signals 1.05369837
## Improper turn-Disregarded traffic signals 1.67221665
## Inattention-Disregarded traffic signals 6.18484184
## No contributing circumstances indicated-Disregarded traffic signals 55.35855249
## Operated defective equipment-Disregarded traffic signals 0.38293770
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded traffic signals 0.45329542
## Other improper passing-Disregarded traffic signals 0.39189004
## Other*-Disregarded traffic signals 0.74550646
## Overcorrected/oversteered-Disregarded traffic signals 0.43134669
## Passed on curve-Disregarded traffic signals 8.25528520
## Passed on hill-Disregarded traffic signals 11.43146293
## Passed stopped school bus-Disregarded traffic signals 8.25528520
## Right turn on red-Disregarded traffic signals 1.49025891
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded traffic signals 0.49966877
## Unable to determine-Disregarded traffic signals 4.23460062
## Use of improper lane-Disregarded traffic signals 0.37247470
## Visibility obstructed-Disregarded traffic signals 0.78470528
## Driver distracted-Disregarded yield sign 2.67464965
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded yield sign 2.87677709
## Driver distracted by external distraction (outside vehicle)-Disregarded yield sign 3.53795248
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded yield sign 3.71259089
## Driver distracted by other inside the vehicle-Disregarded yield sign 2.83131607
## Drug use-Disregarded yield sign 3.23570173
## Exceeded authorized speed limit-Disregarded yield sign 2.63482656
## Exceeded safe speed for conditions-Disregarded yield sign 5.13164408
## Failed to yield right of way-Disregarded yield sign 8.36855780
## Failure to reduce speed-Disregarded yield sign 20.31094029
## Followed too closely-Disregarded yield sign 2.84364605
## Improper backing-Disregarded yield sign 7.44586677
## Improper lane change-Disregarded yield sign 5.47040517
## Improper or no signal-Disregarded yield sign 3.54920714
## Improper parking-Disregarded yield sign 3.48075974
## Improper turn-Disregarded yield sign 4.11301632
## Inattention-Disregarded yield sign 8.63841861
## No contributing circumstances indicated-Disregarded yield sign 57.81294829
## Operated defective equipment-Disregarded yield sign 2.61454841
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded yield sign 2.81761078
## Other improper passing-Disregarded yield sign 2.69339460
## Other*-Disregarded yield sign 3.14932389
## Overcorrected/oversteered-Disregarded yield sign 2.79035636
## Passed on curve-Disregarded yield sign 9.52803781
## Passed on hill-Disregarded yield sign 12.64526571
## Passed stopped school bus-Disregarded yield sign 9.52803781
## Right turn on red-Disregarded yield sign 3.29421818
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded yield sign 2.81560692
## Unable to determine-Disregarded yield sign 6.68047712
## Use of improper lane-Disregarded yield sign 2.65047399
## Visibility obstructed-Disregarded yield sign 2.82205074
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Driver distracted 2.21495327
## Driver distracted by external distraction (outside vehicle)-Driver distracted 3.00468323
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted 3.20146916
## Driver distracted by other inside the vehicle-Driver distracted 2.15732068
## Drug use-Driver distracted 2.64272971
## Exceeded authorized speed limit-Driver distracted 1.82941089
## Exceeded safe speed for conditions-Driver distracted 4.28997750
## Failed to yield right of way-Driver distracted 7.48516919
## Failure to reduce speed-Driver distracted 19.42712456
## Followed too closely-Driver distracted 2.02072226
## Improper backing-Driver distracted 6.56249543
## Improper lane change-Driver distracted 4.58873865
## Improper or no signal-Driver distracted 3.01754440
## Improper parking-Driver distracted 2.60616821
## Improper turn-Driver distracted 3.23372499
## Inattention-Driver distracted 7.75484103
## No contributing circumstances indicated-Driver distracted 56.92909875
## Operated defective equipment-Driver distracted 1.81662775
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted 1.96566694
## Other improper passing-Driver distracted 1.86601364
## Other*-Driver distracted 2.28289729
## Overcorrected/oversteered-Driver distracted 1.94041522
## Passed on curve-Driver distracted 9.28893888
## Passed on hill-Driver distracted 12.44574444
## Passed stopped school bus-Driver distracted 9.28893888
## Right turn on red-Driver distracted 2.71755632
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted 1.98241802
## Unable to determine-Driver distracted 5.79947289
## Use of improper lane-Driver distracted 1.83275588
## Visibility obstructed-Driver distracted 2.11672916
## Driver distracted by external distraction (outside vehicle)-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.34689419
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.53079323
## Driver distracted by other inside the vehicle-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.58412152
## Drug use-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.02022769
## Exceeded authorized speed limit-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.34016406
## Exceeded safe speed for conditions-Driver distracted by electronic communication device (cell phone, texting, etc.) 4.82484892
## Failed to yield right of way-Driver distracted by electronic communication device (cell phone, texting, etc.) 8.04835036
## Failure to reduce speed-Driver distracted by electronic communication device (cell phone, texting, etc.) 19.99059867
## Followed too closely-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.54306920
## Improper backing-Driver distracted by electronic communication device (cell phone, texting, etc.) 7.12566476
## Improper lane change-Driver distracted by electronic communication device (cell phone, texting, etc.) 5.15073939
## Improper or no signal-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.35881704
## Improper parking-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.16333021
## Improper turn-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.79409934
## Inattention-Driver distracted by electronic communication device (cell phone, texting, etc.) 8.31815179
## No contributing circumstances indicated-Driver distracted by electronic communication device (cell phone, texting, etc.) 57.49259605
## Operated defective equipment-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.32244853
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.50745629
## Other improper passing-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.39132833
## Other*-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.83449674
## Overcorrected/oversteered-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.48085367
## Passed on curve-Driver distracted by electronic communication device (cell phone, texting, etc.) 9.46676218
## Passed on hill-Driver distracted by electronic communication device (cell phone, texting, etc.) 12.60224136
## Passed stopped school bus-Driver distracted by electronic communication device (cell phone, texting, etc.) 9.46676218
## Right turn on red-Driver distracted by electronic communication device (cell phone, texting, etc.) 3.08533144
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.51160980
## Unable to determine-Driver distracted by electronic communication device (cell phone, texting, etc.) 6.36101994
## Use of improper lane-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.35164507
## Visibility obstructed-Driver distracted by electronic communication device (cell phone, texting, etc.) 2.56307115
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted by external distraction (outside vehicle) 4.11078632
## Driver distracted by other inside the vehicle-Driver distracted by external distraction (outside vehicle) 3.33031998
## Drug use-Driver distracted by external distraction (outside vehicle) 3.68772958
## Exceeded authorized speed limit-Driver distracted by external distraction (outside vehicle) 3.19741616
## Exceeded safe speed for conditions-Driver distracted by external distraction (outside vehicle) 5.70922779
## Failed to yield right of way-Driver distracted by external distraction (outside vehicle) 8.96213928
## Failure to reduce speed-Driver distracted by external distraction (outside vehicle) 20.90467880
## Followed too closely-Driver distracted by external distraction (outside vehicle) 3.41360750
## Improper backing-Driver distracted by external distraction (outside vehicle) 8.03944190
## Improper lane change-Driver distracted by external distraction (outside vehicle) 6.06335218
## Improper or no signal-Driver distracted by external distraction (outside vehicle) 3.96152175
## Improper parking-Driver distracted by external distraction (outside vehicle) 4.07107707
## Improper turn-Driver distracted by external distraction (outside vehicle) 4.70508464
## Inattention-Driver distracted by external distraction (outside vehicle) 9.23206958
## No contributing circumstances indicated-Driver distracted by external distraction (outside vehicle) 58.40669923
## Operated defective equipment-Driver distracted by external distraction (outside vehicle) 3.17390663
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by external distraction (outside vehicle) 3.39925791
## Other improper passing-Driver distracted by external distraction (outside vehicle) 3.26519372
## Other*-Driver distracted by external distraction (outside vehicle) 3.73656006
## Overcorrected/oversteered-Driver distracted by external distraction (outside vehicle) 3.37121804
## Passed on curve-Driver distracted by external distraction (outside vehicle) 9.70350744
## Passed on hill-Driver distracted by external distraction (outside vehicle) 12.78385077
## Passed stopped school bus-Driver distracted by external distraction (outside vehicle) 9.70350744
## Right turn on red-Driver distracted by external distraction (outside vehicle) 3.73603551
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by external distraction (outside vehicle) 3.38977709
## Unable to determine-Driver distracted by external distraction (outside vehicle) 7.27317953
## Use of improper lane-Driver distracted by external distraction (outside vehicle) 3.21826921
## Visibility obstructed-Driver distracted by external distraction (outside vehicle) 3.33758529
## Driver distracted by other inside the vehicle-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.48721933
## Drug use-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.83043791
## Exceeded authorized speed limit-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.37226710
## Exceeded safe speed for conditions-Driver distracted by other electronic device (navigation device, DVD player, etc.) 5.88809805
## Failed to yield right of way-Driver distracted by other electronic device (navigation device, DVD player, etc.) 9.14520750
## Failure to reduce speed-Driver distracted by other electronic device (navigation device, DVD player, etc.) 21.08778777
## Followed too closely-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.59044477
## Improper backing-Driver distracted by other electronic device (navigation device, DVD player, etc.) 8.22250848
## Improper lane change-Driver distracted by other electronic device (navigation device, DVD player, etc.) 6.24625568
## Improper or no signal-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.09163663
## Improper parking-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.25329633
## Improper turn-Driver distracted by other electronic device (navigation device, DVD player, etc.) 4.88775979
## Inattention-Driver distracted by other electronic device (navigation device, DVD player, etc.) 9.41515583
## No contributing circumstances indicated-Driver distracted by other electronic device (navigation device, DVD player, etc.) 58.58981142
## Operated defective equipment-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.34788063
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.57920329
## Other improper passing-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.44252306
## Other*-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.91797438
## Overcorrected/oversteered-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.55095607
## Passed on curve-Driver distracted by other electronic device (navigation device, DVD player, etc.) 9.74882447
## Passed on hill-Driver distracted by other electronic device (navigation device, DVD player, etc.) 12.81484010
## Passed stopped school bus-Driver distracted by other electronic device (navigation device, DVD player, etc.) 9.74882447
## Right turn on red-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.87555732
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.56773952
## Unable to determine-Driver distracted by other electronic device (navigation device, DVD player, etc.) 7.45601950
## Use of improper lane-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.39452485
## Visibility obstructed-Driver distracted by other electronic device (navigation device, DVD player, etc.) 3.49929200
## Drug use-Driver distracted by other inside the vehicle 2.97280009
## Exceeded authorized speed limit-Driver distracted by other inside the vehicle 2.27439605
## Exceeded safe speed for conditions-Driver distracted by other inside the vehicle 4.75606639
## Failed to yield right of way-Driver distracted by other inside the vehicle 7.97615891
## Failure to reduce speed-Driver distracted by other inside the vehicle 19.91837268
## Followed too closely-Driver distracted by other inside the vehicle 2.47583960
## Improper backing-Driver distracted by other inside the vehicle 7.05347470
## Improper lane change-Driver distracted by other inside the vehicle 5.07868724
## Improper or no signal-Driver distracted by other inside the vehicle 3.31681154
## Improper parking-Driver distracted by other inside the vehicle 3.09185167
## Improper turn-Driver distracted by other inside the vehicle 3.72223952
## Inattention-Driver distracted by other inside the vehicle 8.24594506
## No contributing circumstances indicated-Driver distracted by other inside the vehicle 57.42036733
## Operated defective equipment-Driver distracted by other inside the vehicle 2.25730927
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by other inside the vehicle 2.43782769
## Other improper passing-Driver distracted by other inside the vehicle 2.32372830
## Other*-Driver distracted by other inside the vehicle 2.76368277
## Overcorrected/oversteered-Driver distracted by other inside the vehicle 2.41138962
## Passed on curve-Driver distracted by other inside the vehicle 9.45085288
## Passed on hill-Driver distracted by other inside the vehicle 12.58986818
## Passed stopped school bus-Driver distracted by other inside the vehicle 9.45085288
## Right turn on red-Driver distracted by other inside the vehicle 3.03934287
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by other inside the vehicle 2.44352812
## Unable to determine-Driver distracted by other inside the vehicle 6.28902139
## Use of improper lane-Driver distracted by other inside the vehicle 2.28484897
## Visibility obstructed-Driver distracted by other inside the vehicle 2.50582889
## Exceeded authorized speed limit-Drug use 2.70376030
## Exceeded safe speed for conditions-Drug use 5.20389487
## Failed to yield right of way-Drug use 8.44439793
## Failure to reduce speed-Drug use 20.38681592
## Followed too closely-Drug use 2.91420504
## Improper backing-Drug use 7.52170547
## Improper lane change-Drug use 5.54610193
## Improper or no signal-Drug use 3.58704721
## Improper parking-Drug use 3.55586320
## Improper turn-Drug use 4.18851468
## Inattention-Drug use 8.71427445
## No contributing circumstances indicated-Drug use 57.88882673
## Operated defective equipment-Drug use 2.68277309
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Drug use 2.89076827
## Other improper passing-Drug use 2.76436041
## Other*-Drug use 3.22373402
## Overcorrected/oversteered-Drug use 2.86333832
## Passed on curve-Drug use 9.52225540
## Passed on hill-Drug use 12.63302682
## Passed stopped school bus-Drug use 9.52225540
## Right turn on red-Drug use 3.33789111
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Drug use 2.88709862
## Unable to determine-Drug use 6.75611864
## Use of improper lane-Drug use 2.72055429
## Visibility obstructed-Drug use 2.88085137
## Exceeded safe speed for conditions-Exceeded authorized speed limit 3.92979448
## Failed to yield right of way-Exceeded authorized speed limit 7.09927090
## Failure to reduce speed-Exceeded authorized speed limit 19.04094552
## Followed too closely-Exceeded authorized speed limit 1.67111865
## Improper backing-Exceeded authorized speed limit 6.17660847
## Improper lane change-Exceeded authorized speed limit 4.20396834
## Improper or no signal-Exceeded authorized speed limit 2.78772550
## Improper parking-Exceeded authorized speed limit 2.22596770
## Improper turn-Exceeded authorized speed limit 2.85050028
## Inattention-Exceeded authorized speed limit 7.36881857
## No contributing circumstances indicated-Exceeded authorized speed limit 56.54289748
## Operated defective equipment-Exceeded authorized speed limit 1.48034289
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Exceeded authorized speed limit 1.59944308
## Other improper passing-Exceeded authorized speed limit 1.51394298
## Other*-Exceeded authorized speed limit 1.90784645
## Overcorrected/oversteered-Exceeded authorized speed limit 1.57538255
## Passed on curve-Exceeded authorized speed limit 9.14123973
## Passed on hill-Exceeded authorized speed limit 12.30803874
## Passed stopped school bus-Exceeded authorized speed limit 9.14123973
## Right turn on red-Exceeded authorized speed limit 2.47286264
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Exceeded authorized speed limit 1.62708769
## Unable to determine-Exceeded authorized speed limit 5.41513473
## Use of improper lane-Exceeded authorized speed limit 1.48599678
## Visibility obstructed-Exceeded authorized speed limit 1.82350014
## Failed to yield right of way-Exceeded safe speed for conditions 4.34647513
## Failure to reduce speed-Exceeded safe speed for conditions 16.28789494
## Followed too closely-Exceeded safe speed for conditions -1.05123509
## Improper backing-Exceeded safe speed for conditions 3.42382298
## Improper lane change-Exceeded safe speed for conditions 1.45219295
## Improper or no signal-Exceeded safe speed for conditions 0.14411745
## Improper parking-Exceeded safe speed for conditions -0.52172822
## Improper turn-Exceeded safe speed for conditions 0.10011432
## Inattention-Exceeded safe speed for conditions 4.61591015
## No contributing circumstances indicated-Exceeded safe speed for conditions 53.78982670
## Operated defective equipment-Exceeded safe speed for conditions -1.23188245
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Exceeded safe speed for conditions -1.13627924
## Other improper passing-Exceeded safe speed for conditions -1.21034117
## Other*-Exceeded safe speed for conditions -0.83535272
## Overcorrected/oversteered-Exceeded safe speed for conditions -1.15935189
## Passed on curve-Exceeded safe speed for conditions 6.54255068
## Passed on hill-Exceeded safe speed for conditions 9.71461806
## Passed stopped school bus-Exceeded safe speed for conditions 6.54255068
## Right turn on red-Exceeded safe speed for conditions -0.17939334
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Exceeded safe speed for conditions -1.09977484
## Unable to determine-Exceeded safe speed for conditions 2.66374884
## Use of improper lane-Exceeded safe speed for conditions -1.23415302
## Visibility obstructed-Exceeded safe speed for conditions -0.85878941
## Failure to reduce speed-Failed to yield right of way 12.76151002
## Followed too closely-Failed to yield right of way -4.52990698
## Improper backing-Failed to yield right of way -0.10210222
## Improper lane change-Failed to yield right of way -2.07198973
## Improper or no signal-Failed to yield right of way -3.24088281
## Improper parking-Failed to yield right of way -4.03901585
## Improper turn-Failed to yield right of way -3.42169477
## Inattention-Failed to yield right of way 1.08977188
## No contributing circumstances indicated-Failed to yield right of way 50.26340671
## Operated defective equipment-Failed to yield right of way -4.69671763
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Failed to yield right of way -4.63450678
## Other improper passing-Failed to yield right of way -4.69173969
## Other*-Failed to yield right of way -4.34528783
## Overcorrected/oversteered-Failed to yield right of way -4.65607705
## Passed on curve-Failed to yield right of way 3.20298247
## Passed on hill-Failed to yield right of way 6.38023853
## Passed stopped school bus-Failed to yield right of way 3.20298247
## Right turn on red-Failed to yield right of way -3.57354433
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Failed to yield right of way -4.58486371
## Unable to determine-Failed to yield right of way -0.85976577
## Use of improper lane-Failed to yield right of way -4.70974852
## Visibility obstructed-Failed to yield right of way -4.28641773
## Followed too closely-Failure to reduce speed -16.47468271
## Improper backing-Failure to reduce speed -12.04746145
## Improper lane change-Failure to reduce speed -14.01732586
## Improper or no signal-Failure to reduce speed -15.18467764
## Improper parking-Failure to reduce speed -15.98426190
## Improper turn-Failure to reduce speed -15.36699965
## Inattention-Failure to reduce speed -10.85559019
## No contributing circumstances indicated-Failure to reduce speed 38.31804090
## Operated defective equipment-Failure to reduce speed -16.64133662
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Failure to reduce speed -16.57951399
## Other improper passing-Failure to reduce speed -16.63654695
## Other*-Failure to reduce speed -16.29044005
## Overcorrected/oversteered-Failure to reduce speed -16.60106602
## Passed on curve-Failure to reduce speed -8.74037860
## Passed on hill-Failure to reduce speed -5.56307368
## Passed stopped school bus-Failure to reduce speed -8.74037860
## Right turn on red-Failure to reduce speed -15.51742858
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Failure to reduce speed -16.52971403
## Unable to determine-Failure to reduce speed -12.80509308
## Use of improper lane-Failure to reduce speed -16.65448893
## Visibility obstructed-Failure to reduce speed -16.23063856
## Improper backing-Followed too closely 5.84303897
## Improper lane change-Followed too closely 3.87084709
## Improper or no signal-Followed too closely 2.50572799
## Improper parking-Followed too closely 1.89466360
## Improper turn-Followed too closely 2.51799670
## Inattention-Followed too closely 7.03519456
## No contributing circumstances indicated-Followed too closely 56.20920150
## Operated defective equipment-Followed too closely 1.16526580
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Followed too closely 1.27353380
## Other improper passing-Followed too closely 1.19326813
## Other*-Followed too closely 1.57855786
## Overcorrected/oversteered-Followed too closely 1.24992232
## Passed on curve-Followed too closely 8.88161899
## Passed on hill-Followed too closely 12.05105979
## Passed stopped school bus-Followed too closely 8.88161899
## Right turn on red-Followed too closely 2.18660488
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Followed too closely 1.30522630
## Unable to determine-Followed too closely 5.08218650
## Use of improper lane-Followed too closely 1.16723227
## Visibility obstructed-Followed too closely 1.52262895
## Improper lane change-Improper backing -1.14917936
## Improper or no signal-Improper backing -2.31813467
## Improper parking-Improper backing -3.11620911
## Improper turn-Improper backing -2.49888566
## Inattention-Improper backing 2.01258329
## No contributing circumstances indicated-Improper backing 51.18621828
## Operated defective equipment-Improper backing -3.77393618
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper backing -3.71170967
## Other improper passing-Improper backing -3.76895064
## Other*-Improper backing -3.42248487
## Overcorrected/oversteered-Improper backing -3.73328067
## Passed on curve-Improper backing 4.12571308
## Passed on hill-Improper backing 7.30296715
## Passed stopped school bus-Improper backing 4.12571308
## Right turn on red-Improper backing -2.65079257
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper backing -3.66207293
## Unable to determine-Improper backing 0.06304425
## Use of improper lane-Improper backing -3.78696217
## Visibility obstructed-Improper backing -3.36365237
## Improper or no signal-Improper lane change -0.33701579
## Improper parking-Improper lane change -1.12932190
## Improper turn-Improper lane change -0.51176699
## Inattention-Improper lane change 3.99992670
## No contributing circumstances indicated-Improper lane change 53.17357641
## Operated defective equipment-Improper lane change -1.78952942
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper lane change -1.72576448
## Other improper passing-Improper lane change -1.78379679
## Other*-Improper lane change -1.43596730
## Overcorrected/oversteered-Improper lane change -1.74740758
## Passed on curve-Improper lane change 6.10509457
## Passed on hill-Improper lane change 9.28215279
## Passed stopped school bus-Improper lane change 6.10509457
## Right turn on red-Improper lane change -0.66931591
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper lane change -1.67674850
## Unable to determine-Improper lane change 2.05025109
## Use of improper lane-Improper lane change -1.80207342
## Visibility obstructed-Improper lane change -1.38083106
## Improper parking-Improper or no signal 4.08459526
## Improper turn-Improper or no signal 4.71863666
## Inattention-Improper or no signal 9.24565212
## No contributing circumstances indicated-Improper or no signal 58.42028369
## Operated defective equipment-Improper or no signal 3.18681552
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper or no signal 3.41260760
## Other improper passing-Improper or no signal 3.27835000
## Other*-Improper or no signal 3.75001857
## Overcorrected/oversteered-Improper or no signal 3.38455239
## Passed on curve-Improper or no signal 9.70735941
## Passed on hill-Improper or no signal 12.78672771
## Passed stopped school bus-Improper or no signal 9.70735941
## Right turn on red-Improper or no signal 3.74644494
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper or no signal 3.40298013
## Unable to determine-Improper or no signal 7.28674379
## Use of improper lane-Improper or no signal 3.23134625
## Visibility obstructed-Improper or no signal 3.34959599
## Improper turn-Improper parking 1.52616078
## Inattention-Improper parking 6.03873253
## No contributing circumstances indicated-Improper parking 55.21243969
## Operated defective equipment-Improper parking 0.23755468
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper parking 0.30752460
## Other improper passing-Improper parking 0.24631682
## Other*-Improper parking 0.59959536
## Overcorrected/oversteered-Improper parking 0.28559370
## Passed on curve-Improper parking 8.11124673
## Passed on hill-Improper parking 11.28747817
## Passed stopped school bus-Improper parking 8.11124673
## Right turn on red-Improper parking 1.34564958
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper parking 0.35405262
## Unable to determine-Improper parking 4.08852374
## Use of improper lane-Improper parking 0.22696858
## Visibility obstructed-Improper parking 0.63973613
## Inattention-Improper turn 5.37384380
## No contributing circumstances indicated-Improper turn 54.54751345
## Operated defective equipment-Improper turn -0.41962910
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper turn -0.35374935
## Other improper passing-Improper turn -0.41286685
## Other*-Improper turn -0.06317104
## Overcorrected/oversteered-Improper turn -0.37549107
## Passed on curve-Improper turn 7.46798175
## Passed on hill-Improper turn 10.64476493
## Passed stopped school bus-Improper turn 7.46798175
## Right turn on red-Improper turn 0.69650865
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper turn -0.30558416
## Unable to determine-Improper turn 3.42398336
## Use of improper lane-Improper turn -0.43150828
## Visibility obstructed-Improper turn -0.01312975
## No contributing circumstances indicated-Inattention 49.99222611
## Operated defective equipment-Inattention -4.96756817
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Inattention -4.90552894
## Other improper passing-Inattention -4.96267347
## Other*-Inattention -4.61637407
## Overcorrected/oversteered-Inattention -4.92709115
## Passed on curve-Inattention 2.93268854
## Passed on hill-Inattention 6.10996622
## Passed stopped school bus-Inattention 2.93268854
## Right turn on red-Inattention -3.84406982
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Inattention -4.85581653
## Unable to determine-Inattention -1.13092936
## Use of improper lane-Inattention -4.98065275
## Visibility obstructed-Inattention -4.55709216
## Operated defective equipment-No contributing circumstances indicated -54.14352157
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-No contributing circumstances indicated -54.08172971
## Other improper passing-No contributing circumstances indicated -54.13874682
## Other*-No contributing circumstances indicated -53.79266728
## Overcorrected/oversteered-No contributing circumstances indicated -54.10328030
## Passed on curve-No contributing circumstances indicated -46.24246400
## Passed on hill-No contributing circumstances indicated -43.06515521
## Passed stopped school bus-No contributing circumstances indicated -46.24246400
## Right turn on red-No contributing circumstances indicated -53.01955536
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-No contributing circumstances indicated -54.03191731
## Unable to determine-No contributing circumstances indicated -50.30733420
## Use of improper lane-No contributing circumstances indicated -54.15668350
## Visibility obstructed-No contributing circumstances indicated -53.73279197
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Operated defective equipment 1.67094976
## Other improper passing-Operated defective equipment 1.58335110
## Other*-Operated defective equipment 1.98068937
## Overcorrected/oversteered-Operated defective equipment 1.64671057
## Passed on curve-Operated defective equipment 9.18423898
## Passed on hill-Operated defective equipment 12.34984721
## Passed stopped school bus-Operated defective equipment 9.18423898
## Right turn on red-Operated defective equipment 2.52772619
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Operated defective equipment 1.69697452
## Unable to determine-Operated defective equipment 5.48940772
## Use of improper lane-Operated defective equipment 1.55463056
## Visibility obstructed-Operated defective equipment 1.88468054
## Other improper passing-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.04193708
## Other*-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.41070709
## Overcorrected/oversteered-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.08953906
## Passed on curve-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 8.82994129
## Passed on hill-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 12.00336711
## Passed stopped school bus-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 8.82994129
## Right turn on red-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 2.09388854
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.15167809
## Unable to determine-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 4.90698821
## Use of improper lane-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.01943510
## Visibility obstructed-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.40613659
## Other*-Other improper passing 1.69860691
## Overcorrected/oversteered-Other improper passing 1.37101879
## Passed on curve-Other improper passing 9.01942481
## Passed on hill-Other improper passing 12.18950842
## Passed stopped school bus-Other improper passing 9.01942481
## Right turn on red-Other improper passing 2.31786195
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Other improper passing 1.42729640
## Unable to determine-Other improper passing 5.20122228
## Use of improper lane-Other improper passing 1.29013216
## Visibility obstructed-Other improper passing 1.65019790
## Overcorrected/oversteered-Other* 0.66740307
## Passed on curve-Other* 8.46222263
## Passed on hill-Other* 11.63747121
## Passed stopped school bus-Other* 8.46222263
## Right turn on red-Other* 1.70703864
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Other* 0.73346508
## Unable to determine-Other* 4.47594316
## Use of improper lane-Other* 0.60444278
## Visibility obstructed-Other* 1.00763251
## Passed on curve-Overcorrected/oversteered 8.86231473
## Passed on hill-Overcorrected/oversteered 12.03548017
## Passed stopped school bus-Overcorrected/oversteered 8.86231473
## Right turn on red-Overcorrected/oversteered 2.12897593
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Overcorrected/oversteered 1.19104571
## Unable to determine-Overcorrected/oversteered 4.94800967
## Use of improper lane-Overcorrected/oversteered 1.05837740
## Visibility obstructed-Overcorrected/oversteered 1.44284669
## Passed on hill-Passed on curve 15.58435087
## Passed stopped school bus-Passed on curve 13.17118044
## Right turn on red-Passed on curve 9.67384564
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed on curve 9.83179562
## Unable to determine-Passed on curve 13.76858065
## Use of improper lane-Passed on curve 9.64112535
## Visibility obstructed-Passed on curve 9.58605068
## Passed stopped school bus-Passed on hill 15.58435087
## Right turn on red-Passed on hill 12.77730698
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed on hill 13.00269956
## Unable to determine-Passed on hill 16.94556243
## Use of improper lane-Passed on hill 12.80980044
## Visibility obstructed-Passed on hill 12.73326695
## Right turn on red-Passed stopped school bus 9.67384564
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed stopped school bus 9.83179562
## Unable to determine-Passed stopped school bus 13.76858065
## Use of improper lane-Passed stopped school bus 9.64112535
## Visibility obstructed-Passed stopped school bus 9.58605068
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Right turn on red 3.03023312
## Unable to determine-Right turn on red 6.90338401
## Use of improper lane-Right turn on red 2.86227432
## Visibility obstructed-Right turn on red 3.01109924
## Unable to determine-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist 5.03853037
## Use of improper lane-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist 1.13264780
## Visibility obstructed-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist 1.49887054
## Use of improper lane-Unable to determine -3.00847631
## Visibility obstructed-Unable to determine -2.58803442
## Visibility obstructed-Use of improper lane 1.74267268
## p adj
## Alcohol use- 0.0000000
## Crossed centerline/going wrong way- 0.0000000
## Disregarded other traffic signs- 0.0000000
## Disregarded road markings- 0.0000000
## Disregarded stop sign- 0.0000000
## Disregarded traffic signals- 0.0000000
## Disregarded yield sign- 0.0000000
## Driver distracted- 0.0000000
## Driver distracted by electronic communication device (cell phone, texting, etc.)- 0.0000000
## Driver distracted by external distraction (outside vehicle)- 0.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)- 0.0000000
## Driver distracted by other inside the vehicle- 0.0000000
## Drug use- 0.0000000
## Exceeded authorized speed limit- 0.0000000
## Exceeded safe speed for conditions- 0.0000000
## Failed to yield right of way- 0.0000000
## Failure to reduce speed- 0.0000000
## Followed too closely- 0.0000000
## Improper backing- 0.0000000
## Improper lane change- 0.0000000
## Improper or no signal- 0.0000000
## Improper parking- 0.0000000
## Improper turn- 0.0000000
## Inattention- 0.0000000
## No contributing circumstances indicated- 0.0000000
## Operated defective equipment- 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner- 0.0000000
## Other improper passing- 0.0000000
## Other*- 0.0000000
## Overcorrected/oversteered- 0.0000000
## Passed on curve- 0.0000000
## Passed on hill- 0.0000000
## Passed stopped school bus- 0.0000000
## Right turn on red- 0.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist- 0.0000000
## Unable to determine- 0.0000000
## Use of improper lane- 0.0000000
## Visibility obstructed- 0.0000000
## Crossed centerline/going wrong way-Alcohol use 1.0000000
## Disregarded other traffic signs-Alcohol use 1.0000000
## Disregarded road markings-Alcohol use 1.0000000
## Disregarded stop sign-Alcohol use 1.0000000
## Disregarded traffic signals-Alcohol use 0.9025744
## Disregarded yield sign-Alcohol use 1.0000000
## Driver distracted-Alcohol use 1.0000000
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Alcohol use 1.0000000
## Driver distracted by external distraction (outside vehicle)-Alcohol use 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Alcohol use 1.0000000
## Driver distracted by other inside the vehicle-Alcohol use 1.0000000
## Drug use-Alcohol use 1.0000000
## Exceeded authorized speed limit-Alcohol use 1.0000000
## Exceeded safe speed for conditions-Alcohol use 0.0000000
## Failed to yield right of way-Alcohol use 0.0000000
## Failure to reduce speed-Alcohol use 0.0000000
## Followed too closely-Alcohol use 1.0000000
## Improper backing-Alcohol use 0.0000000
## Improper lane change-Alcohol use 0.0000000
## Improper or no signal-Alcohol use 1.0000000
## Improper parking-Alcohol use 0.5561936
## Improper turn-Alcohol use 0.0001572
## Inattention-Alcohol use 0.0000000
## No contributing circumstances indicated-Alcohol use 0.0000000
## Operated defective equipment-Alcohol use 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Alcohol use 1.0000000
## Other improper passing-Alcohol use 1.0000000
## Other*-Alcohol use 0.9997104
## Overcorrected/oversteered-Alcohol use 1.0000000
## Passed on curve-Alcohol use 1.0000000
## Passed on hill-Alcohol use 1.0000000
## Passed stopped school bus-Alcohol use 1.0000000
## Right turn on red-Alcohol use 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Alcohol use 1.0000000
## Unable to determine-Alcohol use 0.0000000
## Use of improper lane-Alcohol use 1.0000000
## Visibility obstructed-Alcohol use 1.0000000
## Disregarded other traffic signs-Crossed centerline/going wrong way 1.0000000
## Disregarded road markings-Crossed centerline/going wrong way 1.0000000
## Disregarded stop sign-Crossed centerline/going wrong way 1.0000000
## Disregarded traffic signals-Crossed centerline/going wrong way 0.7569090
## Disregarded yield sign-Crossed centerline/going wrong way 1.0000000
## Driver distracted-Crossed centerline/going wrong way 1.0000000
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Crossed centerline/going wrong way 1.0000000
## Driver distracted by external distraction (outside vehicle)-Crossed centerline/going wrong way 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Crossed centerline/going wrong way 1.0000000
## Driver distracted by other inside the vehicle-Crossed centerline/going wrong way 1.0000000
## Drug use-Crossed centerline/going wrong way 1.0000000
## Exceeded authorized speed limit-Crossed centerline/going wrong way 1.0000000
## Exceeded safe speed for conditions-Crossed centerline/going wrong way 0.0000000
## Failed to yield right of way-Crossed centerline/going wrong way 0.0000000
## Failure to reduce speed-Crossed centerline/going wrong way 0.0000000
## Followed too closely-Crossed centerline/going wrong way 1.0000000
## Improper backing-Crossed centerline/going wrong way 0.0000000
## Improper lane change-Crossed centerline/going wrong way 0.0000000
## Improper or no signal-Crossed centerline/going wrong way 1.0000000
## Improper parking-Crossed centerline/going wrong way 0.3611563
## Improper turn-Crossed centerline/going wrong way 0.0000528
## Inattention-Crossed centerline/going wrong way 0.0000000
## No contributing circumstances indicated-Crossed centerline/going wrong way 0.0000000
## Operated defective equipment-Crossed centerline/going wrong way 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Crossed centerline/going wrong way 1.0000000
## Other improper passing-Crossed centerline/going wrong way 1.0000000
## Other*-Crossed centerline/going wrong way 0.9958427
## Overcorrected/oversteered-Crossed centerline/going wrong way 1.0000000
## Passed on curve-Crossed centerline/going wrong way 1.0000000
## Passed on hill-Crossed centerline/going wrong way 1.0000000
## Passed stopped school bus-Crossed centerline/going wrong way 1.0000000
## Right turn on red-Crossed centerline/going wrong way 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Crossed centerline/going wrong way 1.0000000
## Unable to determine-Crossed centerline/going wrong way 0.0000000
## Use of improper lane-Crossed centerline/going wrong way 1.0000000
## Visibility obstructed-Crossed centerline/going wrong way 1.0000000
## Disregarded road markings-Disregarded other traffic signs 1.0000000
## Disregarded stop sign-Disregarded other traffic signs 1.0000000
## Disregarded traffic signals-Disregarded other traffic signs 0.9297808
## Disregarded yield sign-Disregarded other traffic signs 1.0000000
## Driver distracted-Disregarded other traffic signs 1.0000000
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded other traffic signs 1.0000000
## Driver distracted by external distraction (outside vehicle)-Disregarded other traffic signs 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded other traffic signs 1.0000000
## Driver distracted by other inside the vehicle-Disregarded other traffic signs 1.0000000
## Drug use-Disregarded other traffic signs 1.0000000
## Exceeded authorized speed limit-Disregarded other traffic signs 1.0000000
## Exceeded safe speed for conditions-Disregarded other traffic signs 0.0000005
## Failed to yield right of way-Disregarded other traffic signs 0.0000000
## Failure to reduce speed-Disregarded other traffic signs 0.0000000
## Followed too closely-Disregarded other traffic signs 1.0000000
## Improper backing-Disregarded other traffic signs 0.0000000
## Improper lane change-Disregarded other traffic signs 0.0000000
## Improper or no signal-Disregarded other traffic signs 1.0000000
## Improper parking-Disregarded other traffic signs 0.7319060
## Improper turn-Disregarded other traffic signs 0.0102340
## Inattention-Disregarded other traffic signs 0.0000000
## No contributing circumstances indicated-Disregarded other traffic signs 0.0000000
## Operated defective equipment-Disregarded other traffic signs 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded other traffic signs 1.0000000
## Other improper passing-Disregarded other traffic signs 1.0000000
## Other*-Disregarded other traffic signs 0.9983984
## Overcorrected/oversteered-Disregarded other traffic signs 1.0000000
## Passed on curve-Disregarded other traffic signs 1.0000000
## Passed on hill-Disregarded other traffic signs 1.0000000
## Passed stopped school bus-Disregarded other traffic signs 1.0000000
## Right turn on red-Disregarded other traffic signs 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded other traffic signs 1.0000000
## Unable to determine-Disregarded other traffic signs 0.0000000
## Use of improper lane-Disregarded other traffic signs 1.0000000
## Visibility obstructed-Disregarded other traffic signs 1.0000000
## Disregarded stop sign-Disregarded road markings 1.0000000
## Disregarded traffic signals-Disregarded road markings 0.8778093
## Disregarded yield sign-Disregarded road markings 1.0000000
## Driver distracted-Disregarded road markings 1.0000000
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded road markings 1.0000000
## Driver distracted by external distraction (outside vehicle)-Disregarded road markings 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded road markings 1.0000000
## Driver distracted by other inside the vehicle-Disregarded road markings 1.0000000
## Drug use-Disregarded road markings 1.0000000
## Exceeded authorized speed limit-Disregarded road markings 1.0000000
## Exceeded safe speed for conditions-Disregarded road markings 0.0000000
## Failed to yield right of way-Disregarded road markings 0.0000000
## Failure to reduce speed-Disregarded road markings 0.0000000
## Followed too closely-Disregarded road markings 1.0000000
## Improper backing-Disregarded road markings 0.0000000
## Improper lane change-Disregarded road markings 0.0000000
## Improper or no signal-Disregarded road markings 1.0000000
## Improper parking-Disregarded road markings 0.5700216
## Improper turn-Disregarded road markings 0.0008721
## Inattention-Disregarded road markings 0.0000000
## No contributing circumstances indicated-Disregarded road markings 0.0000000
## Operated defective equipment-Disregarded road markings 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded road markings 1.0000000
## Other improper passing-Disregarded road markings 1.0000000
## Other*-Disregarded road markings 0.9983262
## Overcorrected/oversteered-Disregarded road markings 1.0000000
## Passed on curve-Disregarded road markings 1.0000000
## Passed on hill-Disregarded road markings 1.0000000
## Passed stopped school bus-Disregarded road markings 1.0000000
## Right turn on red-Disregarded road markings 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded road markings 1.0000000
## Unable to determine-Disregarded road markings 0.0000000
## Use of improper lane-Disregarded road markings 1.0000000
## Visibility obstructed-Disregarded road markings 1.0000000
## Disregarded traffic signals-Disregarded stop sign 0.6730235
## Disregarded yield sign-Disregarded stop sign 1.0000000
## Driver distracted-Disregarded stop sign 1.0000000
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded stop sign 1.0000000
## Driver distracted by external distraction (outside vehicle)-Disregarded stop sign 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded stop sign 1.0000000
## Driver distracted by other inside the vehicle-Disregarded stop sign 1.0000000
## Drug use-Disregarded stop sign 1.0000000
## Exceeded authorized speed limit-Disregarded stop sign 1.0000000
## Exceeded safe speed for conditions-Disregarded stop sign 0.0000000
## Failed to yield right of way-Disregarded stop sign 0.0000000
## Failure to reduce speed-Disregarded stop sign 0.0000000
## Followed too closely-Disregarded stop sign 1.0000000
## Improper backing-Disregarded stop sign 0.0000000
## Improper lane change-Disregarded stop sign 0.0000000
## Improper or no signal-Disregarded stop sign 1.0000000
## Improper parking-Disregarded stop sign 0.2958513
## Improper turn-Disregarded stop sign 0.0000493
## Inattention-Disregarded stop sign 0.0000000
## No contributing circumstances indicated-Disregarded stop sign 0.0000000
## Operated defective equipment-Disregarded stop sign 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded stop sign 1.0000000
## Other improper passing-Disregarded stop sign 1.0000000
## Other*-Disregarded stop sign 0.9877756
## Overcorrected/oversteered-Disregarded stop sign 1.0000000
## Passed on curve-Disregarded stop sign 1.0000000
## Passed on hill-Disregarded stop sign 1.0000000
## Passed stopped school bus-Disregarded stop sign 1.0000000
## Right turn on red-Disregarded stop sign 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded stop sign 1.0000000
## Unable to determine-Disregarded stop sign 0.0000000
## Use of improper lane-Disregarded stop sign 1.0000000
## Visibility obstructed-Disregarded stop sign 1.0000000
## Disregarded yield sign-Disregarded traffic signals 0.9996423
## Driver distracted-Disregarded traffic signals 0.8997317
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded traffic signals 0.9913602
## Driver distracted by external distraction (outside vehicle)-Disregarded traffic signals 0.9999968
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded traffic signals 0.9999996
## Driver distracted by other inside the vehicle-Disregarded traffic signals 0.9849495
## Drug use-Disregarded traffic signals 0.9999362
## Exceeded authorized speed limit-Disregarded traffic signals 0.7813169
## Exceeded safe speed for conditions-Disregarded traffic signals 0.0000002
## Failed to yield right of way-Disregarded traffic signals 0.0000000
## Failure to reduce speed-Disregarded traffic signals 0.0000000
## Followed too closely-Disregarded traffic signals 0.9941532
## Improper backing-Disregarded traffic signals 0.0000000
## Improper lane change-Disregarded traffic signals 0.0000000
## Improper or no signal-Disregarded traffic signals 0.9999972
## Improper parking-Disregarded traffic signals 1.0000000
## Improper turn-Disregarded traffic signals 0.1987941
## Inattention-Disregarded traffic signals 0.0000000
## No contributing circumstances indicated-Disregarded traffic signals 0.0000000
## Operated defective equipment-Disregarded traffic signals 0.7501677
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded traffic signals 0.9834752
## Other improper passing-Disregarded traffic signals 0.8635142
## Other*-Disregarded traffic signals 1.0000000
## Overcorrected/oversteered-Disregarded traffic signals 0.9680266
## Passed on curve-Disregarded traffic signals 1.0000000
## Passed on hill-Disregarded traffic signals 1.0000000
## Passed stopped school bus-Disregarded traffic signals 1.0000000
## Right turn on red-Disregarded traffic signals 0.9999581
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded traffic signals 0.9862789
## Unable to determine-Disregarded traffic signals 0.0000000
## Use of improper lane-Disregarded traffic signals 0.7918639
## Visibility obstructed-Disregarded traffic signals 0.9868159
## Driver distracted-Disregarded yield sign 1.0000000
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Disregarded yield sign 1.0000000
## Driver distracted by external distraction (outside vehicle)-Disregarded yield sign 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Disregarded yield sign 1.0000000
## Driver distracted by other inside the vehicle-Disregarded yield sign 1.0000000
## Drug use-Disregarded yield sign 1.0000000
## Exceeded authorized speed limit-Disregarded yield sign 1.0000000
## Exceeded safe speed for conditions-Disregarded yield sign 0.0036546
## Failed to yield right of way-Disregarded yield sign 0.0000000
## Failure to reduce speed-Disregarded yield sign 0.0000000
## Followed too closely-Disregarded yield sign 1.0000000
## Improper backing-Disregarded yield sign 0.0000000
## Improper lane change-Disregarded yield sign 0.0000488
## Improper or no signal-Disregarded yield sign 1.0000000
## Improper parking-Disregarded yield sign 0.9953946
## Improper turn-Disregarded yield sign 0.4382405
## Inattention-Disregarded yield sign 0.0000000
## No contributing circumstances indicated-Disregarded yield sign 0.0000000
## Operated defective equipment-Disregarded yield sign 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Disregarded yield sign 1.0000000
## Other improper passing-Disregarded yield sign 1.0000000
## Other*-Disregarded yield sign 0.9999984
## Overcorrected/oversteered-Disregarded yield sign 1.0000000
## Passed on curve-Disregarded yield sign 1.0000000
## Passed on hill-Disregarded yield sign 1.0000000
## Passed stopped school bus-Disregarded yield sign 1.0000000
## Right turn on red-Disregarded yield sign 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Disregarded yield sign 1.0000000
## Unable to determine-Disregarded yield sign 0.0000000
## Use of improper lane-Disregarded yield sign 1.0000000
## Visibility obstructed-Disregarded yield sign 1.0000000
## Driver distracted by electronic communication device (cell phone, texting, etc.)-Driver distracted 1.0000000
## Driver distracted by external distraction (outside vehicle)-Driver distracted 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted 1.0000000
## Driver distracted by other inside the vehicle-Driver distracted 1.0000000
## Drug use-Driver distracted 1.0000000
## Exceeded authorized speed limit-Driver distracted 1.0000000
## Exceeded safe speed for conditions-Driver distracted 0.0000001
## Failed to yield right of way-Driver distracted 0.0000000
## Failure to reduce speed-Driver distracted 0.0000000
## Followed too closely-Driver distracted 1.0000000
## Improper backing-Driver distracted 0.0000000
## Improper lane change-Driver distracted 0.0000000
## Improper or no signal-Driver distracted 1.0000000
## Improper parking-Driver distracted 0.6488422
## Improper turn-Driver distracted 0.0037409
## Inattention-Driver distracted 0.0000000
## No contributing circumstances indicated-Driver distracted 0.0000000
## Operated defective equipment-Driver distracted 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted 1.0000000
## Other improper passing-Driver distracted 1.0000000
## Other*-Driver distracted 0.9978104
## Overcorrected/oversteered-Driver distracted 1.0000000
## Passed on curve-Driver distracted 1.0000000
## Passed on hill-Driver distracted 1.0000000
## Passed stopped school bus-Driver distracted 1.0000000
## Right turn on red-Driver distracted 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted 1.0000000
## Unable to determine-Driver distracted 0.0000000
## Use of improper lane-Driver distracted 1.0000000
## Visibility obstructed-Driver distracted 1.0000000
## Driver distracted by external distraction (outside vehicle)-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Driver distracted by other inside the vehicle-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Drug use-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Exceeded authorized speed limit-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Exceeded safe speed for conditions-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.0001005
## Failed to yield right of way-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.0000000
## Failure to reduce speed-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.0000000
## Followed too closely-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Improper backing-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.0000000
## Improper lane change-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.0000002
## Improper or no signal-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Improper parking-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.9429188
## Improper turn-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.1127237
## Inattention-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.0000000
## No contributing circumstances indicated-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.0000000
## Operated defective equipment-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Other improper passing-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Other*-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.9998992
## Overcorrected/oversteered-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Passed on curve-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Passed on hill-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Passed stopped school bus-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Right turn on red-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Unable to determine-Driver distracted by electronic communication device (cell phone, texting, etc.) 0.0000000
## Use of improper lane-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Visibility obstructed-Driver distracted by electronic communication device (cell phone, texting, etc.) 1.0000000
## Driver distracted by other electronic device (navigation device, DVD player, etc.)-Driver distracted by external distraction (outside vehicle) 1.0000000
## Driver distracted by other inside the vehicle-Driver distracted by external distraction (outside vehicle) 1.0000000
## Drug use-Driver distracted by external distraction (outside vehicle) 1.0000000
## Exceeded authorized speed limit-Driver distracted by external distraction (outside vehicle) 1.0000000
## Exceeded safe speed for conditions-Driver distracted by external distraction (outside vehicle) 0.0891628
## Failed to yield right of way-Driver distracted by external distraction (outside vehicle) 0.0000000
## Failure to reduce speed-Driver distracted by external distraction (outside vehicle) 0.0000000
## Followed too closely-Driver distracted by external distraction (outside vehicle) 1.0000000
## Improper backing-Driver distracted by external distraction (outside vehicle) 0.0000000
## Improper lane change-Driver distracted by external distraction (outside vehicle) 0.0079285
## Improper or no signal-Driver distracted by external distraction (outside vehicle) 1.0000000
## Improper parking-Driver distracted by external distraction (outside vehicle) 0.9999249
## Improper turn-Driver distracted by external distraction (outside vehicle) 0.8808582
## Inattention-Driver distracted by external distraction (outside vehicle) 0.0000000
## No contributing circumstances indicated-Driver distracted by external distraction (outside vehicle) 0.0000000
## Operated defective equipment-Driver distracted by external distraction (outside vehicle) 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by external distraction (outside vehicle) 1.0000000
## Other improper passing-Driver distracted by external distraction (outside vehicle) 1.0000000
## Other*-Driver distracted by external distraction (outside vehicle) 1.0000000
## Overcorrected/oversteered-Driver distracted by external distraction (outside vehicle) 1.0000000
## Passed on curve-Driver distracted by external distraction (outside vehicle) 1.0000000
## Passed on hill-Driver distracted by external distraction (outside vehicle) 1.0000000
## Passed stopped school bus-Driver distracted by external distraction (outside vehicle) 1.0000000
## Right turn on red-Driver distracted by external distraction (outside vehicle) 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by external distraction (outside vehicle) 1.0000000
## Unable to determine-Driver distracted by external distraction (outside vehicle) 0.0000015
## Use of improper lane-Driver distracted by external distraction (outside vehicle) 1.0000000
## Visibility obstructed-Driver distracted by external distraction (outside vehicle) 1.0000000
## Driver distracted by other inside the vehicle-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Drug use-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Exceeded authorized speed limit-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Exceeded safe speed for conditions-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.1853845
## Failed to yield right of way-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.0000000
## Failure to reduce speed-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.0000000
## Followed too closely-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Improper backing-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.0000000
## Improper lane change-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.0263126
## Improper or no signal-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Improper parking-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.9999887
## Improper turn-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.9504595
## Inattention-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.0000000
## No contributing circumstances indicated-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.0000000
## Operated defective equipment-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Other improper passing-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Other*-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Overcorrected/oversteered-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Passed on curve-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Passed on hill-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Passed stopped school bus-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Right turn on red-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Unable to determine-Driver distracted by other electronic device (navigation device, DVD player, etc.) 0.0000168
## Use of improper lane-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Visibility obstructed-Driver distracted by other electronic device (navigation device, DVD player, etc.) 1.0000000
## Drug use-Driver distracted by other inside the vehicle 1.0000000
## Exceeded authorized speed limit-Driver distracted by other inside the vehicle 1.0000000
## Exceeded safe speed for conditions-Driver distracted by other inside the vehicle 0.0000388
## Failed to yield right of way-Driver distracted by other inside the vehicle 0.0000000
## Failure to reduce speed-Driver distracted by other inside the vehicle 0.0000000
## Followed too closely-Driver distracted by other inside the vehicle 1.0000000
## Improper backing-Driver distracted by other inside the vehicle 0.0000000
## Improper lane change-Driver distracted by other inside the vehicle 0.0000000
## Improper or no signal-Driver distracted by other inside the vehicle 1.0000000
## Improper parking-Driver distracted by other inside the vehicle 0.9133121
## Improper turn-Driver distracted by other inside the vehicle 0.0743599
## Inattention-Driver distracted by other inside the vehicle 0.0000000
## No contributing circumstances indicated-Driver distracted by other inside the vehicle 0.0000000
## Operated defective equipment-Driver distracted by other inside the vehicle 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Driver distracted by other inside the vehicle 1.0000000
## Other improper passing-Driver distracted by other inside the vehicle 1.0000000
## Other*-Driver distracted by other inside the vehicle 0.9997865
## Overcorrected/oversteered-Driver distracted by other inside the vehicle 1.0000000
## Passed on curve-Driver distracted by other inside the vehicle 1.0000000
## Passed on hill-Driver distracted by other inside the vehicle 1.0000000
## Passed stopped school bus-Driver distracted by other inside the vehicle 1.0000000
## Right turn on red-Driver distracted by other inside the vehicle 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Driver distracted by other inside the vehicle 1.0000000
## Unable to determine-Driver distracted by other inside the vehicle 0.0000000
## Use of improper lane-Driver distracted by other inside the vehicle 1.0000000
## Visibility obstructed-Driver distracted by other inside the vehicle 1.0000000
## Exceeded authorized speed limit-Drug use 1.0000000
## Exceeded safe speed for conditions-Drug use 0.0103312
## Failed to yield right of way-Drug use 0.0000000
## Failure to reduce speed-Drug use 0.0000000
## Followed too closely-Drug use 1.0000000
## Improper backing-Drug use 0.0000000
## Improper lane change-Drug use 0.0002346
## Improper or no signal-Drug use 1.0000000
## Improper parking-Drug use 0.9988364
## Improper turn-Drug use 0.6003326
## Inattention-Drug use 0.0000000
## No contributing circumstances indicated-Drug use 0.0000000
## Operated defective equipment-Drug use 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Drug use 1.0000000
## Other improper passing-Drug use 1.0000000
## Other*-Drug use 0.9999998
## Overcorrected/oversteered-Drug use 1.0000000
## Passed on curve-Drug use 1.0000000
## Passed on hill-Drug use 1.0000000
## Passed stopped school bus-Drug use 1.0000000
## Right turn on red-Drug use 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Drug use 1.0000000
## Unable to determine-Drug use 0.0000000
## Use of improper lane-Drug use 1.0000000
## Visibility obstructed-Drug use 1.0000000
## Exceeded safe speed for conditions-Exceeded authorized speed limit 0.0000000
## Failed to yield right of way-Exceeded authorized speed limit 0.0000000
## Failure to reduce speed-Exceeded authorized speed limit 0.0000000
## Followed too closely-Exceeded authorized speed limit 1.0000000
## Improper backing-Exceeded authorized speed limit 0.0000000
## Improper lane change-Exceeded authorized speed limit 0.0000000
## Improper or no signal-Exceeded authorized speed limit 1.0000000
## Improper parking-Exceeded authorized speed limit 0.4066659
## Improper turn-Exceeded authorized speed limit 0.0001359
## Inattention-Exceeded authorized speed limit 0.0000000
## No contributing circumstances indicated-Exceeded authorized speed limit 0.0000000
## Operated defective equipment-Exceeded authorized speed limit 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Exceeded authorized speed limit 1.0000000
## Other improper passing-Exceeded authorized speed limit 1.0000000
## Other*-Exceeded authorized speed limit 0.9956595
## Overcorrected/oversteered-Exceeded authorized speed limit 1.0000000
## Passed on curve-Exceeded authorized speed limit 1.0000000
## Passed on hill-Exceeded authorized speed limit 1.0000000
## Passed stopped school bus-Exceeded authorized speed limit 1.0000000
## Right turn on red-Exceeded authorized speed limit 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Exceeded authorized speed limit 1.0000000
## Unable to determine-Exceeded authorized speed limit 0.0000000
## Use of improper lane-Exceeded authorized speed limit 1.0000000
## Visibility obstructed-Exceeded authorized speed limit 1.0000000
## Failed to yield right of way-Exceeded safe speed for conditions 0.0000000
## Failure to reduce speed-Exceeded safe speed for conditions 0.0000000
## Followed too closely-Exceeded safe speed for conditions 0.0000000
## Improper backing-Exceeded safe speed for conditions 0.0000000
## Improper lane change-Exceeded safe speed for conditions 0.9999704
## Improper or no signal-Exceeded safe speed for conditions 0.0941827
## Improper parking-Exceeded safe speed for conditions 0.0000055
## Improper turn-Exceeded safe speed for conditions 0.1617215
## Inattention-Exceeded safe speed for conditions 0.0000000
## No contributing circumstances indicated-Exceeded safe speed for conditions 0.0000000
## Operated defective equipment-Exceeded safe speed for conditions 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Exceeded safe speed for conditions 0.0000000
## Other improper passing-Exceeded safe speed for conditions 0.0000000
## Other*-Exceeded safe speed for conditions 0.0000000
## Overcorrected/oversteered-Exceeded safe speed for conditions 0.0000000
## Passed on curve-Exceeded safe speed for conditions 1.0000000
## Passed on hill-Exceeded safe speed for conditions 1.0000000
## Passed stopped school bus-Exceeded safe speed for conditions 1.0000000
## Right turn on red-Exceeded safe speed for conditions 0.0184333
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Exceeded safe speed for conditions 0.0000000
## Unable to determine-Exceeded safe speed for conditions 0.0000009
## Use of improper lane-Exceeded safe speed for conditions 0.0000000
## Visibility obstructed-Exceeded safe speed for conditions 0.0000082
## Failure to reduce speed-Failed to yield right of way 0.0000000
## Followed too closely-Failed to yield right of way 0.0000000
## Improper backing-Failed to yield right of way 0.0077320
## Improper lane change-Failed to yield right of way 0.0000000
## Improper or no signal-Failed to yield right of way 0.0000000
## Improper parking-Failed to yield right of way 0.0000000
## Improper turn-Failed to yield right of way 0.0000000
## Inattention-Failed to yield right of way 0.9999999
## No contributing circumstances indicated-Failed to yield right of way 0.0000000
## Operated defective equipment-Failed to yield right of way 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Failed to yield right of way 0.0000000
## Other improper passing-Failed to yield right of way 0.0000000
## Other*-Failed to yield right of way 0.0000000
## Overcorrected/oversteered-Failed to yield right of way 0.0000000
## Passed on curve-Failed to yield right of way 0.8571573
## Passed on hill-Failed to yield right of way 0.9980423
## Passed stopped school bus-Failed to yield right of way 0.8571573
## Right turn on red-Failed to yield right of way 0.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Failed to yield right of way 0.0000000
## Unable to determine-Failed to yield right of way 0.0000000
## Use of improper lane-Failed to yield right of way 0.0000000
## Visibility obstructed-Failed to yield right of way 0.0000000
## Followed too closely-Failure to reduce speed 0.0000000
## Improper backing-Failure to reduce speed 0.0000000
## Improper lane change-Failure to reduce speed 0.0000000
## Improper or no signal-Failure to reduce speed 0.0000000
## Improper parking-Failure to reduce speed 0.0000000
## Improper turn-Failure to reduce speed 0.0000000
## Inattention-Failure to reduce speed 0.0000000
## No contributing circumstances indicated-Failure to reduce speed 0.0000000
## Operated defective equipment-Failure to reduce speed 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Failure to reduce speed 0.0000000
## Other improper passing-Failure to reduce speed 0.0000000
## Other*-Failure to reduce speed 0.0000000
## Overcorrected/oversteered-Failure to reduce speed 0.0000000
## Passed on curve-Failure to reduce speed 0.0000000
## Passed on hill-Failure to reduce speed 0.0000155
## Passed stopped school bus-Failure to reduce speed 0.0000000
## Right turn on red-Failure to reduce speed 0.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Failure to reduce speed 0.0000000
## Unable to determine-Failure to reduce speed 0.0000000
## Use of improper lane-Failure to reduce speed 0.0000000
## Visibility obstructed-Failure to reduce speed 0.0000000
## Improper backing-Followed too closely 0.0000000
## Improper lane change-Followed too closely 0.0000000
## Improper or no signal-Followed too closely 1.0000000
## Improper parking-Followed too closely 0.8795332
## Improper turn-Followed too closely 0.0014258
## Inattention-Followed too closely 0.0000000
## No contributing circumstances indicated-Followed too closely 0.0000000
## Operated defective equipment-Followed too closely 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Followed too closely 1.0000000
## Other improper passing-Followed too closely 1.0000000
## Other*-Followed too closely 0.9999998
## Overcorrected/oversteered-Followed too closely 1.0000000
## Passed on curve-Followed too closely 1.0000000
## Passed on hill-Followed too closely 1.0000000
## Passed stopped school bus-Followed too closely 1.0000000
## Right turn on red-Followed too closely 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Followed too closely 1.0000000
## Unable to determine-Followed too closely 0.0000000
## Use of improper lane-Followed too closely 1.0000000
## Visibility obstructed-Followed too closely 1.0000000
## Improper lane change-Improper backing 0.0000000
## Improper or no signal-Improper backing 0.0000000
## Improper parking-Improper backing 0.0000000
## Improper turn-Improper backing 0.0000000
## Inattention-Improper backing 0.0000122
## No contributing circumstances indicated-Improper backing 0.0000000
## Operated defective equipment-Improper backing 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper backing 0.0000000
## Other improper passing-Improper backing 0.0000000
## Other*-Improper backing 0.0000000
## Overcorrected/oversteered-Improper backing 0.0000000
## Passed on curve-Improper backing 0.9817820
## Passed on hill-Improper backing 0.9999396
## Passed stopped school bus-Improper backing 0.9817820
## Right turn on red-Improper backing 0.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper backing 0.0000000
## Unable to determine-Improper backing 0.1290549
## Use of improper lane-Improper backing 0.0000000
## Visibility obstructed-Improper backing 0.0000000
## Improper or no signal-Improper lane change 0.0086661
## Improper parking-Improper lane change 0.0000000
## Improper turn-Improper lane change 0.0000004
## Inattention-Improper lane change 0.0000000
## No contributing circumstances indicated-Improper lane change 0.0000000
## Operated defective equipment-Improper lane change 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper lane change 0.0000000
## Other improper passing-Improper lane change 0.0000000
## Other*-Improper lane change 0.0000000
## Overcorrected/oversteered-Improper lane change 0.0000000
## Passed on curve-Improper lane change 0.9999995
## Passed on hill-Improper lane change 1.0000000
## Passed stopped school bus-Improper lane change 0.9999995
## Right turn on red-Improper lane change 0.0006176
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper lane change 0.0000000
## Unable to determine-Improper lane change 0.0000185
## Use of improper lane-Improper lane change 0.0000000
## Visibility obstructed-Improper lane change 0.0000000
## Improper parking-Improper or no signal 0.9999331
## Improper turn-Improper or no signal 0.8869326
## Inattention-Improper or no signal 0.0000000
## No contributing circumstances indicated-Improper or no signal 0.0000000
## Operated defective equipment-Improper or no signal 1.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper or no signal 1.0000000
## Other improper passing-Improper or no signal 1.0000000
## Other*-Improper or no signal 1.0000000
## Overcorrected/oversteered-Improper or no signal 1.0000000
## Passed on curve-Improper or no signal 1.0000000
## Passed on hill-Improper or no signal 1.0000000
## Passed stopped school bus-Improper or no signal 1.0000000
## Right turn on red-Improper or no signal 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper or no signal 1.0000000
## Unable to determine-Improper or no signal 0.0000018
## Use of improper lane-Improper or no signal 1.0000000
## Visibility obstructed-Improper or no signal 1.0000000
## Improper turn-Improper parking 0.6709822
## Inattention-Improper parking 0.0000000
## No contributing circumstances indicated-Improper parking 0.0000000
## Operated defective equipment-Improper parking 0.3828906
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper parking 0.7543326
## Other improper passing-Improper parking 0.4800864
## Other*-Improper parking 0.9999974
## Overcorrected/oversteered-Improper parking 0.6808126
## Passed on curve-Improper parking 1.0000000
## Passed on hill-Improper parking 1.0000000
## Passed stopped school bus-Improper parking 1.0000000
## Right turn on red-Improper parking 0.9992454
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper parking 0.8038526
## Unable to determine-Improper parking 0.0000000
## Use of improper lane-Improper parking 0.4007219
## Visibility obstructed-Improper parking 0.9085307
## Inattention-Improper turn 0.0000000
## No contributing circumstances indicated-Improper turn 0.0000000
## Operated defective equipment-Improper turn 0.0001595
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Improper turn 0.0001047
## Other improper passing-Improper turn 0.0000755
## Other*-Improper turn 0.0187516
## Overcorrected/oversteered-Improper turn 0.0000716
## Passed on curve-Improper turn 1.0000000
## Passed on hill-Improper turn 1.0000000
## Passed stopped school bus-Improper turn 1.0000000
## Right turn on red-Improper turn 0.6747039
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Improper turn 0.0004597
## Unable to determine-Improper turn 0.0000000
## Use of improper lane-Improper turn 0.0000734
## Visibility obstructed-Improper turn 0.0450526
## No contributing circumstances indicated-Inattention 0.0000000
## Operated defective equipment-Inattention 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Inattention 0.0000000
## Other improper passing-Inattention 0.0000000
## Other*-Inattention 0.0000000
## Overcorrected/oversteered-Inattention 0.0000000
## Passed on curve-Inattention 0.7861024
## Passed on hill-Inattention 0.9956552
## Passed stopped school bus-Inattention 0.7861024
## Right turn on red-Inattention 0.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Inattention 0.0000000
## Unable to determine-Inattention 0.0000000
## Use of improper lane-Inattention 0.0000000
## Visibility obstructed-Inattention 0.0000000
## Operated defective equipment-No contributing circumstances indicated 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-No contributing circumstances indicated 0.0000000
## Other improper passing-No contributing circumstances indicated 0.0000000
## Other*-No contributing circumstances indicated 0.0000000
## Overcorrected/oversteered-No contributing circumstances indicated 0.0000000
## Passed on curve-No contributing circumstances indicated 0.0000000
## Passed on hill-No contributing circumstances indicated 0.0000000
## Passed stopped school bus-No contributing circumstances indicated 0.0000000
## Right turn on red-No contributing circumstances indicated 0.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-No contributing circumstances indicated 0.0000000
## Unable to determine-No contributing circumstances indicated 0.0000000
## Use of improper lane-No contributing circumstances indicated 0.0000000
## Visibility obstructed-No contributing circumstances indicated 0.0000000
## Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner-Operated defective equipment 1.0000000
## Other improper passing-Operated defective equipment 1.0000000
## Other*-Operated defective equipment 0.9926117
## Overcorrected/oversteered-Operated defective equipment 1.0000000
## Passed on curve-Operated defective equipment 1.0000000
## Passed on hill-Operated defective equipment 1.0000000
## Passed stopped school bus-Operated defective equipment 1.0000000
## Right turn on red-Operated defective equipment 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Operated defective equipment 1.0000000
## Unable to determine-Operated defective equipment 0.0000000
## Use of improper lane-Operated defective equipment 1.0000000
## Visibility obstructed-Operated defective equipment 1.0000000
## Other improper passing-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Other*-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 0.9999996
## Overcorrected/oversteered-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Passed on curve-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Passed on hill-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Passed stopped school bus-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Right turn on red-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Unable to determine-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 0.0000000
## Use of improper lane-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Visibility obstructed-Operated vehicle in erratic, reckless, careless, negligent, or aggressive manner 1.0000000
## Other*-Other improper passing 0.9993907
## Overcorrected/oversteered-Other improper passing 1.0000000
## Passed on curve-Other improper passing 1.0000000
## Passed on hill-Other improper passing 1.0000000
## Passed stopped school bus-Other improper passing 1.0000000
## Right turn on red-Other improper passing 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Other improper passing 1.0000000
## Unable to determine-Other improper passing 0.0000000
## Use of improper lane-Other improper passing 1.0000000
## Visibility obstructed-Other improper passing 1.0000000
## Overcorrected/oversteered-Other* 0.9999967
## Passed on curve-Other* 1.0000000
## Passed on hill-Other* 1.0000000
## Passed stopped school bus-Other* 1.0000000
## Right turn on red-Other* 0.9999999
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Other* 0.9999990
## Unable to determine-Other* 0.0000000
## Use of improper lane-Other* 0.9972621
## Visibility obstructed-Other* 0.9999067
## Passed on curve-Overcorrected/oversteered 1.0000000
## Passed on hill-Overcorrected/oversteered 1.0000000
## Passed stopped school bus-Overcorrected/oversteered 1.0000000
## Right turn on red-Overcorrected/oversteered 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Overcorrected/oversteered 1.0000000
## Unable to determine-Overcorrected/oversteered 0.0000000
## Use of improper lane-Overcorrected/oversteered 1.0000000
## Visibility obstructed-Overcorrected/oversteered 1.0000000
## Passed on hill-Passed on curve 1.0000000
## Passed stopped school bus-Passed on curve 1.0000000
## Right turn on red-Passed on curve 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed on curve 1.0000000
## Unable to determine-Passed on curve 0.9989162
## Use of improper lane-Passed on curve 1.0000000
## Visibility obstructed-Passed on curve 1.0000000
## Passed stopped school bus-Passed on hill 1.0000000
## Right turn on red-Passed on hill 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed on hill 1.0000000
## Unable to determine-Passed on hill 0.9999989
## Use of improper lane-Passed on hill 1.0000000
## Visibility obstructed-Passed on hill 1.0000000
## Right turn on red-Passed stopped school bus 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Passed stopped school bus 1.0000000
## Unable to determine-Passed stopped school bus 0.9989162
## Use of improper lane-Passed stopped school bus 1.0000000
## Visibility obstructed-Passed stopped school bus 1.0000000
## Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist-Right turn on red 1.0000000
## Unable to determine-Right turn on red 0.0000000
## Use of improper lane-Right turn on red 1.0000000
## Visibility obstructed-Right turn on red 1.0000000
## Unable to determine-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist 0.0000000
## Use of improper lane-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist 1.0000000
## Visibility obstructed-Swerved or avoided due to wind, slippery surface, vehicle, object, non-motorist 1.0000000
## Use of improper lane-Unable to determine 0.0000000
## Visibility obstructed-Unable to determine 0.0000000
## Visibility obstructed-Use of improper lane 1.0000000Is there a significant difference between the amount of crashes per each first harmful event?
crashes_first_harm = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(FirstHarmfulEvent != "Unknown", FirstHarmfulEvent != "NA") %>%
group_by(Date, FirstHarmfulEvent) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_first_harm = aov(count ~ FirstHarmfulEvent, data = crashes_first_harm)
summary(anova_first_harm)## Df Sum Sq Mean Sq F value Pr(>F)
## FirstHarmfulEvent 24 7260788 302533 3320 <2e-16 ***
## Residuals 31374 2859296 91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_first_harm)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ FirstHarmfulEvent, data = crashes_first_harm)
##
## $FirstHarmfulEvent
## diff
## Animal-Angle -16.172165829
## Backing up-Angle -3.462244698
## Fixed object*-Angle -15.031138987
## Head on-Angle -14.486559966
## Jackknife-Angle -15.671296868
## Left turn, different roadways-Angle -11.939065169
## Left turn, same roadway-Angle -10.323216459
## Moveable object*-Angle -15.491018701
## Other collision with vehicle*-Angle -14.550461503
## Other non-collision*-Angle -15.768238473
## Overturn/rollover-Angle -16.494309723
## Parked Motor Vehicle-Angle -4.055369118
## Pedalcyclist-Angle -15.665270391
## Pedestrian-Angle -15.096466936
## Ran off road - left-Angle -15.179795886
## Ran off road - right-Angle -14.685229078
## Ran off road - straight-Angle -16.465720801
## Rear end, slow or stop-Angle 41.789350572
## Rear end, turn-Angle -14.805743681
## Right turn, different roadways-Angle -13.943125668
## Right turn, same roadway-Angle -14.308311183
## RR train, engine-Angle -16.076058773
## Sideswipe, opposite direction-Angle -13.978060153
## Sideswipe, same direction-Angle 7.918777716
## Backing up-Animal 12.709921131
## Fixed object*-Animal 1.141026842
## Head on-Animal 1.685605863
## Jackknife-Animal 0.500868961
## Left turn, different roadways-Animal 4.233100659
## Left turn, same roadway-Animal 5.848949369
## Moveable object*-Animal 0.681147127
## Other collision with vehicle*-Animal 1.621704326
## Other non-collision*-Animal 0.403927355
## Overturn/rollover-Animal -0.322143895
## Parked Motor Vehicle-Animal 12.116796711
## Pedalcyclist-Animal 0.506895438
## Pedestrian-Animal 1.075698893
## Ran off road - left-Animal 0.992369943
## Ran off road - right-Animal 1.486936750
## Ran off road - straight-Animal -0.293554972
## Rear end, slow or stop-Animal 57.961516400
## Rear end, turn-Animal 1.366422147
## Right turn, different roadways-Animal 2.229040161
## Right turn, same roadway-Animal 1.863854646
## RR train, engine-Animal 0.096107056
## Sideswipe, opposite direction-Animal 2.194105676
## Sideswipe, same direction-Animal 24.090943545
## Fixed object*-Backing up -11.568894289
## Head on-Backing up -11.024315268
## Jackknife-Backing up -12.209052170
## Left turn, different roadways-Backing up -8.476820471
## Left turn, same roadway-Backing up -6.860971761
## Moveable object*-Backing up -12.028774003
## Other collision with vehicle*-Backing up -11.088216805
## Other non-collision*-Backing up -12.305993775
## Overturn/rollover-Backing up -13.032065025
## Parked Motor Vehicle-Backing up -0.593124420
## Pedalcyclist-Backing up -12.203025693
## Pedestrian-Backing up -11.634222238
## Ran off road - left-Backing up -11.717551188
## Ran off road - right-Backing up -11.222984380
## Ran off road - straight-Backing up -13.003476103
## Rear end, slow or stop-Backing up 45.251595269
## Rear end, turn-Backing up -11.343498984
## Right turn, different roadways-Backing up -10.480880970
## Right turn, same roadway-Backing up -10.846066485
## RR train, engine-Backing up -12.613814075
## Sideswipe, opposite direction-Backing up -10.515815455
## Sideswipe, same direction-Backing up 11.381022414
## Head on-Fixed object* 0.544579021
## Jackknife-Fixed object* -0.640157881
## Left turn, different roadways-Fixed object* 3.092073817
## Left turn, same roadway-Fixed object* 4.707922527
## Moveable object*-Fixed object* -0.459879715
## Other collision with vehicle*-Fixed object* 0.480677484
## Other non-collision*-Fixed object* -0.737099487
## Overturn/rollover-Fixed object* -1.463170737
## Parked Motor Vehicle-Fixed object* 10.975769869
## Pedalcyclist-Fixed object* -0.634131404
## Pedestrian-Fixed object* -0.065327949
## Ran off road - left-Fixed object* -0.148656900
## Ran off road - right-Fixed object* 0.345909908
## Ran off road - straight-Fixed object* -1.434581814
## Rear end, slow or stop-Fixed object* 56.820489558
## Rear end, turn-Fixed object* 0.225395305
## Right turn, different roadways-Fixed object* 1.088013319
## Right turn, same roadway-Fixed object* 0.722827804
## RR train, engine-Fixed object* -1.044919786
## Sideswipe, opposite direction-Fixed object* 1.053078834
## Sideswipe, same direction-Fixed object* 22.949916703
## Jackknife-Head on -1.184736902
## Left turn, different roadways-Head on 2.547494797
## Left turn, same roadway-Head on 4.163343507
## Moveable object*-Head on -1.004458735
## Other collision with vehicle*-Head on -0.063901537
## Other non-collision*-Head on -1.281678507
## Overturn/rollover-Head on -2.007749757
## Parked Motor Vehicle-Head on 10.431190848
## Pedalcyclist-Head on -1.178710425
## Pedestrian-Head on -0.609906970
## Ran off road - left-Head on -0.693235920
## Ran off road - right-Head on -0.198669112
## Ran off road - straight-Head on -1.979160835
## Rear end, slow or stop-Head on 56.275910538
## Rear end, turn-Head on -0.319183715
## Right turn, different roadways-Head on 0.543434298
## Right turn, same roadway-Head on 0.178248783
## RR train, engine-Head on -1.589498807
## Sideswipe, opposite direction-Head on 0.508499813
## Sideswipe, same direction-Head on 22.405337682
## Left turn, different roadways-Jackknife 3.732231699
## Left turn, same roadway-Jackknife 5.348080409
## Moveable object*-Jackknife 0.180278166
## Other collision with vehicle*-Jackknife 1.120835365
## Other non-collision*-Jackknife -0.096941605
## Overturn/rollover-Jackknife -0.823012855
## Parked Motor Vehicle-Jackknife 11.615927750
## Pedalcyclist-Jackknife 0.006026477
## Pedestrian-Jackknife 0.574829932
## Ran off road - left-Jackknife 0.491500982
## Ran off road - right-Jackknife 0.986067790
## Ran off road - straight-Jackknife -0.794423933
## Rear end, slow or stop-Jackknife 57.460647439
## Rear end, turn-Jackknife 0.865553186
## Right turn, different roadways-Jackknife 1.728171200
## Right turn, same roadway-Jackknife 1.362985685
## RR train, engine-Jackknife -0.404761905
## Sideswipe, opposite direction-Jackknife 1.693236715
## Sideswipe, same direction-Jackknife 23.590074584
## Left turn, same roadway-Left turn, different roadways 1.615848710
## Moveable object*-Left turn, different roadways -3.551953532
## Other collision with vehicle*-Left turn, different roadways -2.611396334
## Other non-collision*-Left turn, different roadways -3.829173304
## Overturn/rollover-Left turn, different roadways -4.555244554
## Parked Motor Vehicle-Left turn, different roadways 7.883696052
## Pedalcyclist-Left turn, different roadways -3.726205222
## Pedestrian-Left turn, different roadways -3.157401767
## Ran off road - left-Left turn, different roadways -3.240730717
## Ran off road - right-Left turn, different roadways -2.746163909
## Ran off road - straight-Left turn, different roadways -4.526655631
## Rear end, slow or stop-Left turn, different roadways 53.728415741
## Rear end, turn-Left turn, different roadways -2.866678512
## Right turn, different roadways-Left turn, different roadways -2.004060499
## Right turn, same roadway-Left turn, different roadways -2.369246014
## RR train, engine-Left turn, different roadways -4.136993603
## Sideswipe, opposite direction-Left turn, different roadways -2.038994984
## Sideswipe, same direction-Left turn, different roadways 19.857842885
## Moveable object*-Left turn, same roadway -5.167802242
## Other collision with vehicle*-Left turn, same roadway -4.227245044
## Other non-collision*-Left turn, same roadway -5.445022014
## Overturn/rollover-Left turn, same roadway -6.171093264
## Parked Motor Vehicle-Left turn, same roadway 6.267847342
## Pedalcyclist-Left turn, same roadway -5.342053932
## Pedestrian-Left turn, same roadway -4.773250477
## Ran off road - left-Left turn, same roadway -4.856579427
## Ran off road - right-Left turn, same roadway -4.362012619
## Ran off road - straight-Left turn, same roadway -6.142504341
## Rear end, slow or stop-Left turn, same roadway 52.112567031
## Rear end, turn-Left turn, same roadway -4.482527222
## Right turn, different roadways-Left turn, same roadway -3.619909209
## Right turn, same roadway-Left turn, same roadway -3.985094724
## RR train, engine-Left turn, same roadway -5.752842313
## Sideswipe, opposite direction-Left turn, same roadway -3.654843694
## Sideswipe, same direction-Left turn, same roadway 18.241994175
## Other collision with vehicle*-Moveable object* 0.940557198
## Other non-collision*-Moveable object* -0.277219772
## Overturn/rollover-Moveable object* -1.003291022
## Parked Motor Vehicle-Moveable object* 11.435649584
## Pedalcyclist-Moveable object* -0.174251690
## Pedestrian-Moveable object* 0.394551765
## Ran off road - left-Moveable object* 0.311222815
## Ran off road - right-Moveable object* 0.805789623
## Ran off road - straight-Moveable object* -0.974702099
## Rear end, slow or stop-Moveable object* 57.280369273
## Rear end, turn-Moveable object* 0.685275020
## Right turn, different roadways-Moveable object* 1.547893033
## Right turn, same roadway-Moveable object* 1.182707519
## RR train, engine-Moveable object* -0.585040071
## Sideswipe, opposite direction-Moveable object* 1.512958548
## Sideswipe, same direction-Moveable object* 23.409796418
## Other non-collision*-Other collision with vehicle* -1.217776970
## Overturn/rollover-Other collision with vehicle* -1.943848220
## Parked Motor Vehicle-Other collision with vehicle* 10.495092386
## Pedalcyclist-Other collision with vehicle* -1.114808888
## Pedestrian-Other collision with vehicle* -0.546005433
## Ran off road - left-Other collision with vehicle* -0.629334383
## Ran off road - right-Other collision with vehicle* -0.134767575
## Ran off road - straight-Other collision with vehicle* -1.915259297
## Rear end, slow or stop-Other collision with vehicle* 56.339812075
## Rear end, turn-Other collision with vehicle* -0.255282178
## Right turn, different roadways-Other collision with vehicle* 0.607335835
## Right turn, same roadway-Other collision with vehicle* 0.242150320
## RR train, engine-Other collision with vehicle* -1.525597270
## Sideswipe, opposite direction-Other collision with vehicle* 0.572401350
## Sideswipe, same direction-Other collision with vehicle* 22.469239219
## Overturn/rollover-Other non-collision* -0.726071250
## Parked Motor Vehicle-Other non-collision* 11.712869356
## Pedalcyclist-Other non-collision* 0.102968082
## Pedestrian-Other non-collision* 0.671771537
## Ran off road - left-Other non-collision* 0.588442587
## Ran off road - right-Other non-collision* 1.083009395
## Ran off road - straight-Other non-collision* -0.697482327
## Rear end, slow or stop-Other non-collision* 57.557589045
## Rear end, turn-Other non-collision* 0.962494792
## Right turn, different roadways-Other non-collision* 1.825112805
## Right turn, same roadway-Other non-collision* 1.459927290
## RR train, engine-Other non-collision* -0.307820300
## Sideswipe, opposite direction-Other non-collision* 1.790178320
## Sideswipe, same direction-Other non-collision* 23.687016189
## Parked Motor Vehicle-Overturn/rollover 12.438940606
## Pedalcyclist-Overturn/rollover 0.829039332
## Pedestrian-Overturn/rollover 1.397842787
## Ran off road - left-Overturn/rollover 1.314513837
## Ran off road - right-Overturn/rollover 1.809080645
## Ran off road - straight-Overturn/rollover 0.028588923
## Rear end, slow or stop-Overturn/rollover 58.283660295
## Rear end, turn-Overturn/rollover 1.688566042
## Right turn, different roadways-Overturn/rollover 2.551184055
## Right turn, same roadway-Overturn/rollover 2.185998540
## RR train, engine-Overturn/rollover 0.418250951
## Sideswipe, opposite direction-Overturn/rollover 2.516249570
## Sideswipe, same direction-Overturn/rollover 24.413087439
## Pedalcyclist-Parked Motor Vehicle -11.609901273
## Pedestrian-Parked Motor Vehicle -11.041097818
## Ran off road - left-Parked Motor Vehicle -11.124426769
## Ran off road - right-Parked Motor Vehicle -10.629859961
## Ran off road - straight-Parked Motor Vehicle -12.410351683
## Rear end, slow or stop-Parked Motor Vehicle 45.844719689
## Rear end, turn-Parked Motor Vehicle -10.750374564
## Right turn, different roadways-Parked Motor Vehicle -9.887756551
## Right turn, same roadway-Parked Motor Vehicle -10.252942065
## RR train, engine-Parked Motor Vehicle -12.020689655
## Sideswipe, opposite direction-Parked Motor Vehicle -9.922691035
## Sideswipe, same direction-Parked Motor Vehicle 11.974146834
## Pedestrian-Pedalcyclist 0.568803455
## Ran off road - left-Pedalcyclist 0.485474505
## Ran off road - right-Pedalcyclist 0.980041313
## Ran off road - straight-Pedalcyclist -0.800450410
## Rear end, slow or stop-Pedalcyclist 57.454620962
## Rear end, turn-Pedalcyclist 0.859526709
## Right turn, different roadways-Pedalcyclist 1.722144723
## Right turn, same roadway-Pedalcyclist 1.356959208
## RR train, engine-Pedalcyclist -0.410788382
## Sideswipe, opposite direction-Pedalcyclist 1.687210238
## Sideswipe, same direction-Pedalcyclist 23.584048107
## Ran off road - left-Pedestrian -0.083328950
## Ran off road - right-Pedestrian 0.411237858
## Ran off road - straight-Pedestrian -1.369253865
## Rear end, slow or stop-Pedestrian 56.885817507
## Rear end, turn-Pedestrian 0.290723254
## Right turn, different roadways-Pedestrian 1.153341268
## Right turn, same roadway-Pedestrian 0.788155753
## RR train, engine-Pedestrian -0.979591837
## Sideswipe, opposite direction-Pedestrian 1.118406783
## Sideswipe, same direction-Pedestrian 23.015244652
## Ran off road - right-Ran off road - left 0.494566808
## Ran off road - straight-Ran off road - left -1.285924914
## Rear end, slow or stop-Ran off road - left 56.969146458
## Rear end, turn-Ran off road - left 0.374052205
## Right turn, different roadways-Ran off road - left 1.236670218
## Right turn, same roadway-Ran off road - left 0.871484703
## RR train, engine-Ran off road - left -0.896262887
## Sideswipe, opposite direction-Ran off road - left 1.201735733
## Sideswipe, same direction-Ran off road - left 23.098573602
## Ran off road - straight-Ran off road - right -1.780491722
## Rear end, slow or stop-Ran off road - right 56.474579650
## Rear end, turn-Ran off road - right -0.120514603
## Right turn, different roadways-Ran off road - right 0.742103410
## Right turn, same roadway-Ran off road - right 0.376917896
## RR train, engine-Ran off road - right -1.390829694
## Sideswipe, opposite direction-Ran off road - right 0.707168925
## Sideswipe, same direction-Ran off road - right 22.604006794
## Rear end, slow or stop-Ran off road - straight 58.255071372
## Rear end, turn-Ran off road - straight 1.659977119
## Right turn, different roadways-Ran off road - straight 2.522595132
## Right turn, same roadway-Ran off road - straight 2.157409618
## RR train, engine-Ran off road - straight 0.389662028
## Sideswipe, opposite direction-Ran off road - straight 2.487660648
## Sideswipe, same direction-Ran off road - straight 24.384498517
## Rear end, turn-Rear end, slow or stop -56.595094253
## Right turn, different roadways-Rear end, slow or stop -55.732476240
## Right turn, same roadway-Rear end, slow or stop -56.097661754
## RR train, engine-Rear end, slow or stop -57.865409344
## Sideswipe, opposite direction-Rear end, slow or stop -55.767410724
## Sideswipe, same direction-Rear end, slow or stop -33.870572855
## Right turn, different roadways-Rear end, turn 0.862618013
## Right turn, same roadway-Rear end, turn 0.497432499
## RR train, engine-Rear end, turn -1.270315091
## Sideswipe, opposite direction-Rear end, turn 0.827683529
## Sideswipe, same direction-Rear end, turn 22.724521398
## Right turn, same roadway-Right turn, different roadways -0.365185515
## RR train, engine-Right turn, different roadways -2.132933105
## Sideswipe, opposite direction-Right turn, different roadways -0.034934485
## Sideswipe, same direction-Right turn, different roadways 21.861903384
## RR train, engine-Right turn, same roadway -1.767747590
## Sideswipe, opposite direction-Right turn, same roadway 0.330251030
## Sideswipe, same direction-Right turn, same roadway 22.227088899
## Sideswipe, opposite direction-RR train, engine 2.097998620
## Sideswipe, same direction-RR train, engine 23.994836489
## Sideswipe, same direction-Sideswipe, opposite direction 21.896837869
## lwr
## Animal-Angle -17.59005488
## Backing up-Angle -4.49019086
## Fixed object*-Angle -16.11697731
## Head on-Angle -15.89442566
## Jackknife-Angle -21.10821919
## Left turn, different roadways-Angle -13.02394273
## Left turn, same roadway-Angle -11.38610298
## Moveable object*-Angle -16.76097863
## Other collision with vehicle*-Angle -15.93401244
## Other non-collision*-Angle -17.36695761
## Overturn/rollover-Angle -18.76662959
## Parked Motor Vehicle-Angle -5.08131429
## Pedalcyclist-Angle -18.02888715
## Pedestrian-Angle -16.42734691
## Ran off road - left-Angle -16.32550719
## Ran off road - right-Angle -15.77727787
## Ran off road - straight-Angle -18.18362745
## Rear end, slow or stop-Angle 40.76483374
## Rear end, turn-Angle -16.40235678
## Right turn, different roadways-Angle -15.19722078
## Right turn, same roadway-Angle -15.57150890
## RR train, engine-Angle -40.77875795
## Sideswipe, opposite direction-Angle -15.14789094
## Sideswipe, same direction-Angle 6.89327352
## Backing up-Animal 11.29106372
## Fixed object*-Animal -0.32031770
## Head on-Animal -0.02861957
## Jackknife-Animal -5.02331490
## Left turn, different roadways-Animal 2.77246986
## Left turn, same roadway-Animal 4.40457726
## Moveable object*-Animal -0.92175064
## Other collision with vehicle*-Animal -0.07260858
## Other non-collision*-Animal -1.47020869
## Overturn/rollover-Animal -2.79599122
## Parked Motor Vehicle-Animal 10.69938833
## Pedalcyclist-Animal -2.05106610
## Pedestrian-Animal -0.57588354
## Ran off road - left-Animal -0.51399569
## Ran off road - right-Animal 0.02097168
## Ran off road - straight-Animal -2.27034183
## Rear end, slow or stop-Animal 56.54514154
## Rear end, turn-Animal -0.50591768
## Right turn, different roadways-Animal 0.63868247
## Right turn, same roadway-Animal 0.26630918
## RR train, engine-Animal -24.62594443
## Sideswipe, opposite direction-Animal 0.66931484
## Sideswipe, same direction-Animal 22.67385432
## Fixed object*-Backing up -12.65599679
## Head on-Backing up -12.43315620
## Jackknife-Backing up -17.64622711
## Left turn, different roadways-Backing up -9.56296332
## Left turn, same roadway-Backing up -7.92514973
## Moveable object*-Backing up -13.29981500
## Other collision with vehicle*-Backing up -12.47276011
## Other non-collision*-Backing up -13.90557180
## Overturn/rollover-Backing up -15.30498925
## Parked Motor Vehicle-Backing up -1.62040748
## Pedalcyclist-Backing up -14.56722348
## Pedestrian-Backing up -12.96613383
## Ran off road - left-Backing up -12.86446067
## Ran off road - right-Backing up -12.31629017
## Ran off road - straight-Backing up -14.72218208
## Rear end, slow or stop-Backing up 44.22573869
## Rear end, turn-Backing up -12.94097211
## Right turn, different roadways-Backing up -11.73607081
## Right turn, same roadway-Backing up -12.11035105
## RR train, engine-Backing up -37.31656886
## Sideswipe, opposite direction-Backing up -11.68681975
## Sideswipe, same direction-Backing up 10.35417976
## Head on-Fixed object* -0.90704225
## Jackknife-Fixed object* -6.08857442
## Left turn, different roadways-Fixed object* 1.95098756
## Left turn, same roadway-Fixed object* 3.58772331
## Moveable object*-Fixed object* -1.77818042
## Other collision with vehicle*-Fixed object* -0.94737424
## Other non-collision*-Fixed object* -2.37448197
## Overturn/rollover-Fixed object* -3.76285682
## Parked Motor Vehicle-Fixed object* 9.89055928
## Pedalcyclist-Fixed object* -3.02406921
## Pedestrian-Fixed object* -1.44241183
## Ran off road - left-Fixed object* -1.34772859
## Ran off road - right-Fixed object* -0.80199649
## Ran off road - straight-Fixed object* -3.18852645
## Rear end, slow or stop-Fixed object* 55.73662921
## Rear end, turn-Fixed object* -1.40993094
## Right turn, different roadways-Fixed object* -0.21501127
## Right turn, same roadway-Fixed object* -0.58895991
## RR train, engine-Fixed object* -25.75015132
## Sideswipe, opposite direction-Fixed object* -0.16905970
## Sideswipe, same direction-Fixed object* 21.86512300
## Jackknife-Head on -6.70635657
## Left turn, different roadways-Head on 1.09659205
## Left turn, same roadway-Head on 2.72880971
## Moveable object*-Head on -2.59849691
## Other collision with vehicle*-Head on -1.74983530
## Other non-collision*-Head on -3.14824282
## Overturn/rollover-Head on -4.47586585
## Parked Motor Vehicle-Head on 9.02380925
## Pedalcyclist-Head on -3.73112960
## Pedestrian-Head on -2.25289235
## Ran off road - left-Head on -2.19017074
## Ran off road - right-Head on -1.65494177
## Ran off road - straight-Head on -3.94877063
## Rear end, slow or stop-Head on 54.86956982
## Rear end, turn-Head on -2.18394452
## Right turn, different roadways-Head on -1.03799355
## Right turn, same roadway-Head on -1.41040724
## RR train, engine-Head on -26.31097745
## Sideswipe, opposite direction-Head on -1.00697488
## Sideswipe, same direction-Head on 20.99827751
## Left turn, different roadways-Jackknife -1.71599345
## Left turn, same roadway-Jackknife -0.09580843
## Moveable object*-Jackknife -5.30779947
## Other collision with vehicle*-Jackknife -4.39463480
## Other non-collision*-Jackknife -5.67028000
## Overturn/rollover-Jackknife -6.62556708
## Parked Motor Vehicle-Jackknife 6.17913077
## Pedalcyclist-Jackknife -5.83288456
## Pedestrian-Jackknife -4.92766400
## Ran off road - left-Jackknife -4.96916311
## Ran off road - right-Jackknife -4.46358986
## Ran off road - straight-Jackknife -6.40311373
## Rear end, slow or stop-Jackknife 52.02411981
## Rear end, turn-Jackknife -4.70718145
## Right turn, different roadways-Jackknife -3.75625699
## Right turn, same roadway-Jackknife -4.12353110
## RR train, engine-Jackknife -25.67786114
## Sideswipe, opposite direction-Jackknife -3.77253880
## Sideswipe, same direction-Jackknife 18.15336080
## Left turn, same roadway-Left turn, different roadways 0.49658076
## Moveable object*-Left turn, different roadways -4.86946300
## Other collision with vehicle*-Left turn, different roadways -4.03871766
## Other non-collision*-Left turn, different roadways -5.46591881
## Overturn/rollover-Left turn, different roadways -6.85447715
## Parked Motor Vehicle-Left turn, different roadways 6.79944678
## Pedalcyclist-Left turn, different roadways -6.11570667
## Pedestrian-Left turn, different roadways -4.53372821
## Ran off road - left-Left turn, different roadways -4.43893244
## Ran off road - right-Left turn, different roadways -3.89316153
## Ran off road - straight-Left turn, different roadways -6.28000564
## Rear end, slow or stop-Left turn, different roadways 52.64551791
## Rear end, turn-Left turn, different roadways -4.50136698
## Right turn, different roadways-Left turn, different roadways -3.30628457
## Right turn, same roadway-Left turn, different roadways -3.68023856
## RR train, engine-Left turn, different roadways -28.84218293
## Sideswipe, opposite direction-Left turn, different roadways -3.26027998
## Sideswipe, same direction-Left turn, different roadways 18.77401087
## Moveable object*-Left turn, same roadway -6.46726353
## Other collision with vehicle*-Left turn, same roadway -5.63792382
## Other non-collision*-Left turn, same roadway -7.06727486
## Overturn/rollover-Left turn, same roadway -8.46003166
## Parked Motor Vehicle-Left turn, same roadway 5.20560212
## Pedalcyclist-Left turn, same roadway -7.72165172
## Pedestrian-Left turn, same roadway -6.13231005
## Ran off road - left-Left turn, same roadway -6.03490697
## Ran off road - right-Left turn, same roadway -5.48823284
## Ran off road - straight-Left turn, same roadway -7.88233327
## Rear end, slow or stop-Left turn, same roadway 51.05170127
## Rear end, turn-Left turn, same roadway -6.10270463
## Right turn, different roadways-Left turn, same roadway -4.90387026
## Right turn, same roadway-Left turn, same roadway -5.27794812
## RR train, engine-Left turn, same roadway -30.45707572
## Sideswipe, opposite direction-Left turn, same roadway -4.85663631
## Sideswipe, same direction-Left turn, same roadway 17.18017485
## Other collision with vehicle*-Moveable object* -0.63204735
## Other non-collision*-Moveable object* -2.04209222
## Overturn/rollover-Moveable object* -3.39542594
## Parked Motor Vehicle-Moveable object* 10.16622633
## Pedalcyclist-Moveable object* -2.65327490
## Pedestrian-Moveable object* -1.13191913
## Ran off road - left-Moveable object* -1.05681456
## Ran off road - right-Moveable object* -0.51763112
## Ran off road - straight-Moveable object* -2.84822155
## Rear end, slow or stop-Moveable object* 56.01210013
## Rear end, turn-Moveable object* -1.07768989
## Right turn, different roadways-Moveable object* 0.08788397
## Right turn, same roadway-Moveable object* -0.28512775
## RR train, engine-Moveable object* -25.29904862
## Sideswipe, opposite direction-Moveable object* 0.12465888
## Sideswipe, same direction-Moveable object* 22.14072954
## Other non-collision*-Other collision with vehicle* -3.06607071
## Overturn/rollover-Other collision with vehicle* -4.39817591
## Parked Motor Vehicle-Other collision with vehicle* 9.11203405
## Pedalcyclist-Other collision with vehicle* -3.65389751
## Pedestrian-Other collision with vehicle* -2.16820405
## Ran off road - left-Other collision with vehicle* -2.10342435
## Ran off road - right-Other collision with vehicle* -1.56754719
## Ran off road - straight-Other collision with vehicle* -3.86756309
## Rear end, slow or stop-Other collision with vehicle* 54.95781295
## Rear end, turn-Other collision with vehicle* -2.10175456
## Right turn, different roadways-Other collision with vehicle* -0.95248512
## Right turn, same roadway-Other collision with vehicle* -1.32499847
## RR train, engine-Other collision with vehicle* -26.24570313
## Sideswipe, opposite direction-Other collision with vehicle* -0.92051222
## Sideswipe, same direction-Other collision with vehicle* 21.08650797
## Overturn/rollover-Other non-collision* -3.30781758
## Parked Motor Vehicle-Other non-collision* 10.11457650
## Pedalcyclist-Other non-collision* -2.55948581
## Pedestrian-Other non-collision* -1.13743217
## Ran off road - left-Other non-collision* -1.08924360
## Ran off road - right-Other non-collision* -0.55849818
## Ran off road - straight-Other non-collision* -2.80773819
## Rear end, slow or stop-Other non-collision* 55.96021267
## Rear end, turn-Other non-collision* -1.05025207
## Right turn, different roadways-Other non-collision* 0.07162169
## Right turn, same roadway-Other non-collision* -0.30008550
## RR train, engine-Other non-collision* -25.04090186
## Sideswipe, opposite direction-Other non-collision* 0.09592904
## Sideswipe, same direction-Other non-collision* 22.08900637
## Parked Motor Vehicle-Overturn/rollover 10.16692064
## Pedalcyclist-Overturn/rollover -2.28483212
## Pedestrian-Overturn/rollover -1.02718355
## Ran off road - left-Overturn/rollover -1.01404057
## Ran off road - right-Overturn/rollover -0.49354434
## Ran off road - straight-Overturn/rollover -2.62861158
## Rear end, slow or stop-Overturn/rollover 56.01228495
## Rear end, turn-Overturn/rollover -0.89187668
## Right turn, different roadways-Overturn/rollover 0.16743369
## Right turn, same roadway-Overturn/rollover -0.20255326
## RR train, engine-Overturn/rollover -24.36748805
## Sideswipe, opposite direction-Overturn/rollover 0.17573354
## Sideswipe, same direction-Overturn/rollover 22.14126657
## Pedalcyclist-Parked Motor Vehicle -13.97322972
## Pedestrian-Parked Motor Vehicle -12.37146569
## Ran off road - left-Parked Motor Vehicle -12.26954316
## Ran off road - right-Parked Motor Vehicle -11.72128460
## Ran off road - straight-Parked Motor Vehicle -14.12786163
## Rear end, slow or stop-Parked Motor Vehicle 44.82086819
## Rear end, turn-Parked Motor Vehicle -12.34656082
## Right turn, different roadways-Parked Motor Vehicle -11.14130820
## Right turn, same roadway-Parked Motor Vehicle -11.51560023
## RR train, engine-Parked Motor Vehicle -36.72336125
## Sideswipe, opposite direction-Parked Motor Vehicle -11.09193918
## Sideswipe, same direction-Parked Motor Vehicle 10.94930733
## Pedestrian-Pedalcyclist -1.94197319
## Ran off road - left-Pedalcyclist -1.93225423
## Ran off road - right-Pedalcyclist -1.41272454
## Ran off road - straight-Pedalcyclist -3.53613334
## Rear end, slow or stop-Pedalcyclist 55.09191222
## Rear end, turn-Pedalcyclist -1.80166311
## Right turn, different roadways-Pedalcyclist -0.74878879
## Right turn, same roadway-Pedalcyclist -1.11860666
## RR train, engine-Pedalcyclist -25.20506402
## Sideswipe, opposite direction-Pedalcyclist -0.74204107
## Sideswipe, same direction-Pedalcyclist 21.22091106
## Ran off road - left-Pedestrian -1.50809895
## Ran off road - right-Pedestrian -0.97074830
## Ran off road - straight-Pedestrian -3.28459154
## Rear end, slow or stop-Pedestrian 55.55655083
## Rear end, turn-Pedestrian -1.51661970
## Right turn, different roadways-Pedestrian -0.35995637
## Right turn, same roadway-Pedestrian -0.73269389
## RR train, engine-Pedestrian -25.69680572
## Sideswipe, opposite direction-Pedestrian -0.32582978
## Sideswipe, same direction-Pedestrian 21.68521683
## Ran off road - right-Ran off road - left -0.71013175
## Ran off road - straight-Ran off road - left -3.07755303
## Rear end, slow or stop-Ran off road - left 55.82530959
## Rear end, turn-Ran off road - left -1.30162719
## Right turn, different roadways-Ran off road - left -0.11665259
## Right turn, same roadway-Ran off road - left -0.49027759
## RR train, engine-Ran off road - left -25.60419835
## Sideswipe, opposite direction-Ran off road - left -0.07389435
## Sideswipe, same direction-Ran off road - left 21.95385228
## Ran off road - straight-Ran off road - right -3.53828793
## Rear end, slow or stop-Ran off road - right 55.38449756
## Rear end, turn-Ran off road - right -1.75997111
## Right turn, different roadways-Ran off road - right -0.56610101
## Right turn, same roadway-Ran off road - right -0.94001518
## RR train, engine-Ran off road - right -26.09633497
## Sideswipe, opposite direction-Ran off road - right -0.52049076
## Sideswipe, same direction-Ran off road - right 21.51299667
## Rear end, slow or stop-Ran off road - straight 56.53841425
## Rear end, turn-Ran off road - straight -0.44868367
## Right turn, different roadways-Ran off road - straight 0.65979308
## Right turn, same roadway-Ran off road - straight 0.28846729
## RR train, engine-Ran off road - straight -24.35140957
## Sideswipe, opposite direction-Ran off road - straight 0.68051345
## Sideswipe, same direction-Ran off road - straight 22.66725195
## Rear end, turn-Rear end, slow or stop -58.19036282
## Right turn, different roadways-Rear end, slow or stop -56.98485915
## Right turn, same roadway-Rear end, slow or stop -57.35915963
## RR train, engine-Rear end, slow or stop -82.56802166
## Sideswipe, opposite direction-Rear end, slow or stop -56.93540579
## Sideswipe, same direction-Rear end, slow or stop -34.89398248
## Right turn, different roadways-Rear end, turn -0.88895317
## Right turn, same roadway-Rear end, turn -1.26066748
## RR train, engine-Rear end, turn -26.00326061
## Sideswipe, opposite direction-Rear end, turn -0.86457861
## Sideswipe, same direction-Rear end, turn 21.12861855
## Right turn, same roadway-Right turn, different roadways -1.81931643
## RR train, engine-Right turn, different roadways -26.84613150
## Sideswipe, opposite direction-Right turn, different roadways -1.40873662
## Sideswipe, same direction-Right turn, different roadways 20.60871263
## RR train, engine-Right turn, same roadway -26.48140958
## Sideswipe, opposite direction-Right turn, same roadway -1.05186554
## Sideswipe, same direction-Right turn, same roadway 20.96478901
## Sideswipe, opposite direction-RR train, engine -22.61106701
## Sideswipe, same direction-RR train, engine -0.70781680
## Sideswipe, same direction-Sideswipe, opposite direction 20.72797663
## upr
## Animal-Angle -14.754276780
## Backing up-Angle -2.434298533
## Fixed object*-Angle -13.945300665
## Head on-Angle -13.078694276
## Jackknife-Angle -10.234374550
## Left turn, different roadways-Angle -10.854187613
## Left turn, same roadway-Angle -9.260329938
## Moveable object*-Angle -14.221058772
## Other collision with vehicle*-Angle -13.166910569
## Other non-collision*-Angle -14.169519336
## Overturn/rollover-Angle -14.221989859
## Parked Motor Vehicle-Angle -3.029423945
## Pedalcyclist-Angle -13.301653630
## Pedestrian-Angle -13.765586964
## Ran off road - left-Angle -14.034084586
## Ran off road - right-Angle -13.593180283
## Ran off road - straight-Angle -14.747814150
## Rear end, slow or stop-Angle 42.813867401
## Rear end, turn-Angle -13.209130581
## Right turn, different roadways-Angle -12.689030551
## Right turn, same roadway-Angle -13.045113461
## RR train, engine-Angle 8.626640407
## Sideswipe, opposite direction-Angle -12.808229367
## Sideswipe, same direction-Angle 8.944281909
## Backing up-Animal 14.128778537
## Fixed object*-Animal 2.602371388
## Head on-Animal 3.399831292
## Jackknife-Animal 6.025052820
## Left turn, different roadways-Animal 5.693731459
## Left turn, same roadway-Animal 7.293321475
## Moveable object*-Animal 2.284044892
## Other collision with vehicle*-Animal 3.316017227
## Other non-collision*-Animal 2.278063397
## Overturn/rollover-Animal 2.151703431
## Parked Motor Vehicle-Animal 13.534205092
## Pedalcyclist-Animal 3.064856973
## Pedestrian-Animal 2.727281323
## Ran off road - left-Animal 2.498735570
## Ran off road - right-Animal 2.952901823
## Ran off road - straight-Animal 1.683231886
## Rear end, slow or stop-Animal 59.377891265
## Rear end, turn-Animal 3.238761971
## Right turn, different roadways-Animal 3.819397851
## Right turn, same roadway-Animal 3.461400109
## RR train, engine-Animal 24.818158544
## Sideswipe, opposite direction-Animal 3.718896511
## Sideswipe, same direction-Animal 25.508032770
## Fixed object*-Backing up -10.481791789
## Head on-Backing up -9.615474331
## Jackknife-Backing up -6.771877235
## Left turn, different roadways-Backing up -7.390677619
## Left turn, same roadway-Backing up -5.796793796
## Moveable object*-Backing up -10.757733010
## Other collision with vehicle*-Backing up -9.703673498
## Other non-collision*-Backing up -10.706415749
## Overturn/rollover-Backing up -10.759140796
## Parked Motor Vehicle-Backing up 0.434158639
## Pedalcyclist-Backing up -9.838827906
## Pedestrian-Backing up -10.302310648
## Ran off road - left-Backing up -10.570641703
## Ran off road - right-Backing up -10.129678588
## Ran off road - straight-Backing up -11.284770123
## Rear end, slow or stop-Backing up 46.277451847
## Rear end, turn-Backing up -9.746025861
## Right turn, different roadways-Backing up -9.225691125
## Right turn, same roadway-Backing up -9.581781917
## RR train, engine-Backing up 12.088940706
## Sideswipe, opposite direction-Backing up -9.344811163
## Sideswipe, same direction-Backing up 12.407865067
## Head on-Fixed object* 1.996200296
## Jackknife-Fixed object* 4.808258661
## Left turn, different roadways-Fixed object* 4.233160071
## Left turn, same roadway-Fixed object* 5.828121744
## Moveable object*-Fixed object* 0.858420990
## Other collision with vehicle*-Fixed object* 1.908729203
## Other non-collision*-Fixed object* 0.900283000
## Overturn/rollover-Fixed object* 0.836515349
## Parked Motor Vehicle-Fixed object* 12.060980459
## Pedalcyclist-Fixed object* 1.755806402
## Pedestrian-Fixed object* 1.311755936
## Ran off road - left-Fixed object* 1.050414787
## Ran off road - right-Fixed object* 1.493816307
## Ran off road - straight-Fixed object* 0.319362822
## Rear end, slow or stop-Fixed object* 57.904349909
## Rear end, turn-Fixed object* 1.860721548
## Right turn, different roadways-Fixed object* 2.391037911
## Right turn, same roadway-Fixed object* 2.034615519
## RR train, engine-Fixed object* 23.660311751
## Sideswipe, opposite direction-Fixed object* 2.275217367
## Sideswipe, same direction-Fixed object* 24.034710405
## Jackknife-Head on 4.336882766
## Left turn, different roadways-Head on 3.998397543
## Left turn, same roadway-Head on 5.597877307
## Moveable object*-Head on 0.589579435
## Other collision with vehicle*-Head on 1.622032226
## Other non-collision*-Head on 0.584885809
## Overturn/rollover-Head on 0.460366333
## Parked Motor Vehicle-Head on 11.838572447
## Pedalcyclist-Head on 1.373708753
## Pedestrian-Head on 1.033078413
## Ran off road - left-Head on 0.803698898
## Ran off road - right-Head on 1.257603541
## Ran off road - straight-Head on -0.009551044
## Rear end, slow or stop-Head on 57.682251251
## Rear end, turn-Head on 1.545577090
## Right turn, different roadways-Head on 2.124862143
## Right turn, same roadway-Head on 1.766904804
## RR train, engine-Head on 23.131979835
## Sideswipe, opposite direction-Head on 2.023974503
## Sideswipe, same direction-Head on 23.812397850
## Left turn, different roadways-Jackknife 9.180456847
## Left turn, same roadway-Jackknife 10.791969250
## Moveable object*-Jackknife 5.668355806
## Other collision with vehicle*-Jackknife 6.636305530
## Other non-collision*-Jackknife 5.476396787
## Overturn/rollover-Jackknife 4.979541369
## Parked Motor Vehicle-Jackknife 17.052724735
## Pedalcyclist-Jackknife 5.844937518
## Pedestrian-Jackknife 6.077323863
## Ran off road - left-Jackknife 5.952165075
## Ran off road - right-Jackknife 6.435725442
## Ran off road - straight-Jackknife 4.814265863
## Rear end, slow or stop-Jackknife 62.897175071
## Rear end, turn-Jackknife 6.438287825
## Right turn, different roadways-Jackknife 7.212599385
## Right turn, same roadway-Jackknife 6.849502471
## RR train, engine-Jackknife 24.868337326
## Sideswipe, opposite direction-Jackknife 7.159012234
## Sideswipe, same direction-Jackknife 29.026788372
## Left turn, same roadway-Left turn, different roadways 2.735116656
## Moveable object*-Left turn, different roadways -2.234444064
## Other collision with vehicle*-Left turn, different roadways -1.184075009
## Other non-collision*-Left turn, different roadways -2.192427796
## Overturn/rollover-Left turn, different roadways -2.256011955
## Parked Motor Vehicle-Left turn, different roadways 8.967945320
## Pedalcyclist-Left turn, different roadways -1.336703774
## Pedestrian-Left turn, different roadways -1.781075323
## Ran off road - left-Left turn, different roadways -2.042528997
## Ran off road - right-Left turn, different roadways -1.599166285
## Ran off road - straight-Left turn, different roadways -2.773305627
## Rear end, slow or stop-Left turn, different roadways 54.811313572
## Rear end, turn-Left turn, different roadways -1.231990049
## Right turn, different roadways-Left turn, different roadways -0.701836424
## Right turn, same roadway-Left turn, different roadways -1.058253465
## RR train, engine-Left turn, different roadways 20.568195725
## Sideswipe, opposite direction-Left turn, different roadways -0.817709986
## Sideswipe, same direction-Left turn, different roadways 20.941674896
## Moveable object*-Left turn, same roadway -3.868340951
## Other collision with vehicle*-Left turn, same roadway -2.816566267
## Other non-collision*-Left turn, same roadway -3.822769166
## Overturn/rollover-Left turn, same roadway -3.882154866
## Parked Motor Vehicle-Left turn, same roadway 7.330092568
## Pedalcyclist-Left turn, same roadway -2.962456147
## Pedestrian-Left turn, same roadway -3.414190903
## Ran off road - left-Left turn, same roadway -3.678251880
## Ran off road - right-Left turn, same roadway -3.235792393
## Ran off road - straight-Left turn, same roadway -4.402675417
## Rear end, slow or stop-Left turn, same roadway 53.173432790
## Rear end, turn-Left turn, same roadway -2.862349819
## Right turn, different roadways-Left turn, same roadway -2.335948155
## Right turn, same roadway-Left turn, same roadway -2.692241326
## RR train, engine-Left turn, same roadway 18.951391093
## Sideswipe, opposite direction-Left turn, same roadway -2.453051077
## Sideswipe, same direction-Left turn, same roadway 19.303813498
## Other collision with vehicle*-Moveable object* 2.513161750
## Other non-collision*-Moveable object* 1.487652679
## Overturn/rollover-Moveable object* 1.388843894
## Parked Motor Vehicle-Moveable object* 12.705072833
## Pedalcyclist-Moveable object* 2.304771522
## Pedestrian-Moveable object* 1.921022659
## Ran off road - left-Moveable object* 1.679260195
## Ran off road - right-Moveable object* 2.129210365
## Ran off road - straight-Moveable object* 0.898817356
## Rear end, slow or stop-Moveable object* 58.548638417
## Rear end, turn-Moveable object* 2.448239933
## Right turn, different roadways-Moveable object* 3.007902092
## Right turn, same roadway-Moveable object* 2.650542786
## RR train, engine-Moveable object* 24.128968480
## Sideswipe, opposite direction-Moveable object* 2.901258213
## Sideswipe, same direction-Moveable object* 24.678863295
## Other non-collision*-Other collision with vehicle* 0.630516765
## Overturn/rollover-Other collision with vehicle* 0.510479472
## Parked Motor Vehicle-Other collision with vehicle* 11.878150718
## Pedalcyclist-Other collision with vehicle* 1.424279737
## Pedestrian-Other collision with vehicle* 1.076193184
## Ran off road - left-Other collision with vehicle* 0.844755586
## Ran off road - right-Other collision with vehicle* 1.298012040
## Ran off road - straight-Other collision with vehicle* 0.037044499
## Rear end, slow or stop-Other collision with vehicle* 57.721811202
## Rear end, turn-Other collision with vehicle* 1.591190201
## Right turn, different roadways-Other collision with vehicle* 2.167156791
## Right turn, same roadway-Other collision with vehicle* 1.809299112
## RR train, engine-Other collision with vehicle* 23.194508588
## Sideswipe, opposite direction-Other collision with vehicle* 2.065314918
## Sideswipe, same direction-Other collision with vehicle* 23.851970467
## Overturn/rollover-Other non-collision* 1.855675080
## Parked Motor Vehicle-Other non-collision* 13.311162208
## Pedalcyclist-Other non-collision* 2.765421976
## Pedestrian-Other non-collision* 2.480975242
## Ran off road - left-Other non-collision* 2.266128770
## Ran off road - right-Other non-collision* 2.724516970
## Ran off road - straight-Other non-collision* 1.412773535
## Rear end, slow or stop-Other non-collision* 59.154965419
## Rear end, turn-Other non-collision* 2.975241656
## Right turn, different roadways-Other non-collision* 3.578603925
## Right turn, same roadway-Other non-collision* 3.219940083
## RR train, engine-Other non-collision* 24.425261258
## Sideswipe, opposite direction-Other non-collision* 3.484427598
## Sideswipe, same direction-Other non-collision* 25.285026013
## Parked Motor Vehicle-Overturn/rollover 14.710960573
## Pedalcyclist-Overturn/rollover 3.942910785
## Pedestrian-Overturn/rollover 3.822869124
## Ran off road - left-Overturn/rollover 3.643068242
## Ran off road - right-Overturn/rollover 4.111705626
## Ran off road - straight-Overturn/rollover 2.685789422
## Rear end, slow or stop-Overturn/rollover 60.555035642
## Rear end, turn-Overturn/rollover 4.269008761
## Right turn, different roadways-Overturn/rollover 4.934934419
## Right turn, same roadway-Overturn/rollover 4.574550344
## RR train, engine-Overturn/rollover 25.203989955
## Sideswipe, opposite direction-Overturn/rollover 4.856765604
## Sideswipe, same direction-Overturn/rollover 26.684908313
## Pedalcyclist-Parked Motor Vehicle -9.246572825
## Pedestrian-Parked Motor Vehicle -9.710729950
## Ran off road - left-Parked Motor Vehicle -9.979310379
## Ran off road - right-Parked Motor Vehicle -9.538435325
## Ran off road - straight-Parked Motor Vehicle -10.692841734
## Rear end, slow or stop-Parked Motor Vehicle 46.868571191
## Rear end, turn-Parked Motor Vehicle -9.154188310
## Right turn, different roadways-Parked Motor Vehicle -8.634204906
## Right turn, same roadway-Parked Motor Vehicle -8.990283898
## RR train, engine-Parked Motor Vehicle 12.681981940
## Sideswipe, opposite direction-Parked Motor Vehicle -8.753442887
## Sideswipe, same direction-Parked Motor Vehicle 12.998986340
## Pedestrian-Pedalcyclist 3.079580100
## Ran off road - left-Pedalcyclist 2.903203241
## Ran off road - right-Pedalcyclist 3.372807166
## Ran off road - straight-Pedalcyclist 1.935232525
## Rear end, slow or stop-Pedalcyclist 59.817329703
## Rear end, turn-Pedalcyclist 3.520716529
## Right turn, different roadways-Pedalcyclist 4.193078235
## Right turn, same roadway-Pedalcyclist 3.832525071
## RR train, engine-Pedalcyclist 24.383487261
## Sideswipe, opposite direction-Pedalcyclist 4.116461548
## Sideswipe, same direction-Pedalcyclist 25.947185155
## Ran off road - left-Pedestrian 1.341441049
## Ran off road - right-Pedestrian 1.793224015
## Ran off road - straight-Pedestrian 0.546083815
## Rear end, slow or stop-Pedestrian 58.215084186
## Rear end, turn-Pedestrian 2.098066211
## Right turn, different roadways-Pedestrian 2.666638902
## Right turn, same roadway-Pedestrian 2.309005401
## RR train, engine-Pedestrian 23.737622042
## Sideswipe, opposite direction-Pedestrian 2.562643341
## Sideswipe, same direction-Pedestrian 24.345272478
## Ran off road - right-Ran off road - left 1.699265368
## Ran off road - straight-Ran off road - left 0.505703203
## Rear end, slow or stop-Ran off road - left 58.112983327
## Rear end, turn-Ran off road - left 2.049731602
## Right turn, different roadways-Ran off road - left 2.589993022
## Right turn, same roadway-Ran off road - left 2.233246993
## RR train, engine-Ran off road - left 23.811672576
## Sideswipe, opposite direction-Ran off road - left 2.477365820
## Sideswipe, same direction-Ran off road - left 24.243294922
## Ran off road - straight-Ran off road - right -0.022695517
## Rear end, slow or stop-Ran off road - right 57.564661745
## Rear end, turn-Ran off road - right 1.518941902
## Right turn, different roadways-Ran off road - right 2.050307829
## Right turn, same roadway-Ran off road - right 1.693850970
## RR train, engine-Ran off road - right 23.314675583
## Sideswipe, opposite direction-Ran off road - right 1.934828613
## Sideswipe, same direction-Ran off road - right 23.695016918
## Rear end, slow or stop-Ran off road - straight 59.971728490
## Rear end, turn-Ran off road - straight 3.768637908
## Right turn, different roadways-Ran off road - straight 4.385397186
## Right turn, same roadway-Ran off road - straight 4.026351942
## RR train, engine-Ran off road - straight 25.130733623
## Sideswipe, opposite direction-Ran off road - straight 4.294807846
## Sideswipe, same direction-Ran off road - straight 26.101745085
## Rear end, turn-Rear end, slow or stop -54.999825688
## Right turn, different roadways-Rear end, slow or stop -54.480093326
## Right turn, same roadway-Rear end, slow or stop -54.836163881
## RR train, engine-Rear end, slow or stop -33.162797030
## Sideswipe, opposite direction-Rear end, slow or stop -54.599415660
## Sideswipe, same direction-Rear end, slow or stop -32.847163235
## Right turn, different roadways-Rear end, turn 2.614189200
## Right turn, same roadway-Rear end, turn 2.255532480
## RR train, engine-Rear end, turn 23.462630423
## Sideswipe, opposite direction-Rear end, turn 2.519945662
## Sideswipe, same direction-Rear end, turn 24.320424249
## Right turn, same roadway-Right turn, different roadways 1.088945398
## RR train, engine-Right turn, different roadways 22.580265292
## Sideswipe, opposite direction-Right turn, different roadways 1.338867647
## Sideswipe, same direction-Right turn, different roadways 23.115094143
## RR train, engine-Right turn, same roadway 22.945914399
## Sideswipe, opposite direction-Right turn, same roadway 1.712367602
## Sideswipe, same direction-Right turn, same roadway 23.489388784
## Sideswipe, opposite direction-RR train, engine 26.807064254
## Sideswipe, same direction-RR train, engine 48.697489773
## Sideswipe, same direction-Sideswipe, opposite direction 23.065699103
## p adj
## Animal-Angle 0.0000000
## Backing up-Angle 0.0000000
## Fixed object*-Angle 0.0000000
## Head on-Angle 0.0000000
## Jackknife-Angle 0.0000000
## Left turn, different roadways-Angle 0.0000000
## Left turn, same roadway-Angle 0.0000000
## Moveable object*-Angle 0.0000000
## Other collision with vehicle*-Angle 0.0000000
## Other non-collision*-Angle 0.0000000
## Overturn/rollover-Angle 0.0000000
## Parked Motor Vehicle-Angle 0.0000000
## Pedalcyclist-Angle 0.0000000
## Pedestrian-Angle 0.0000000
## Ran off road - left-Angle 0.0000000
## Ran off road - right-Angle 0.0000000
## Ran off road - straight-Angle 0.0000000
## Rear end, slow or stop-Angle 0.0000000
## Rear end, turn-Angle 0.0000000
## Right turn, different roadways-Angle 0.0000000
## Right turn, same roadway-Angle 0.0000000
## RR train, engine-Angle 0.7817504
## Sideswipe, opposite direction-Angle 0.0000000
## Sideswipe, same direction-Angle 0.0000000
## Backing up-Animal 0.0000000
## Fixed object*-Animal 0.4125632
## Head on-Animal 0.0611353
## Jackknife-Animal 1.0000000
## Left turn, different roadways-Animal 0.0000000
## Left turn, same roadway-Animal 0.0000000
## Moveable object*-Animal 0.9982890
## Other collision with vehicle*-Animal 0.0827532
## Other non-collision*-Animal 1.0000000
## Overturn/rollover-Animal 1.0000000
## Parked Motor Vehicle-Animal 0.0000000
## Pedalcyclist-Animal 1.0000000
## Pedestrian-Animal 0.7804542
## Ran off road - left-Animal 0.7619008
## Ran off road - right-Animal 0.0418885
## Ran off road - straight-Animal 1.0000000
## Rear end, slow or stop-Animal 0.0000000
## Rear end, turn-Animal 0.5614017
## Right turn, different roadways-Animal 0.0000845
## Right turn, same roadway-Animal 0.0049498
## RR train, engine-Animal 1.0000000
## Sideswipe, opposite direction-Animal 0.0000409
## Sideswipe, same direction-Animal 0.0000000
## Fixed object*-Backing up 0.0000000
## Head on-Backing up 0.0000000
## Jackknife-Backing up 0.0000000
## Left turn, different roadways-Backing up 0.0000000
## Left turn, same roadway-Backing up 0.0000000
## Moveable object*-Backing up 0.0000000
## Other collision with vehicle*-Backing up 0.0000000
## Other non-collision*-Backing up 0.0000000
## Overturn/rollover-Backing up 0.0000000
## Parked Motor Vehicle-Backing up 0.9207658
## Pedalcyclist-Backing up 0.0000000
## Pedestrian-Backing up 0.0000000
## Ran off road - left-Backing up 0.0000000
## Ran off road - right-Backing up 0.0000000
## Ran off road - straight-Backing up 0.0000000
## Rear end, slow or stop-Backing up 0.0000000
## Rear end, turn-Backing up 0.0000000
## Right turn, different roadways-Backing up 0.0000000
## Right turn, same roadway-Backing up 0.0000000
## RR train, engine-Backing up 0.9791553
## Sideswipe, opposite direction-Backing up 0.0000000
## Sideswipe, same direction-Backing up 0.0000000
## Head on-Fixed object* 0.9997663
## Jackknife-Fixed object* 1.0000000
## Left turn, different roadways-Fixed object* 0.0000000
## Left turn, same roadway-Fixed object* 0.0000000
## Moveable object*-Fixed object* 0.9999333
## Other collision with vehicle*-Fixed object* 0.9999648
## Other non-collision*-Fixed object* 0.9960183
## Overturn/rollover-Fixed object* 0.8156643
## Parked Motor Vehicle-Fixed object* 0.0000000
## Pedalcyclist-Fixed object* 0.9999996
## Pedestrian-Fixed object* 1.0000000
## Ran off road - left-Fixed object* 1.0000000
## Ran off road - right-Fixed object* 0.9999955
## Ran off road - straight-Fixed object* 0.3148191
## Rear end, slow or stop-Fixed object* 0.0000000
## Rear end, turn-Fixed object* 1.0000000
## Right turn, different roadways-Fixed object* 0.2744779
## Right turn, same roadway-Fixed object* 0.9506474
## RR train, engine-Fixed object* 1.0000000
## Sideswipe, opposite direction-Fixed object* 0.2181117
## Sideswipe, same direction-Fixed object* 0.0000000
## Jackknife-Head on 1.0000000
## Left turn, different roadways-Head on 0.0000000
## Left turn, same roadway-Head on 0.0000000
## Moveable object*-Head on 0.8290475
## Other collision with vehicle*-Head on 1.0000000
## Other non-collision*-Head on 0.6873213
## Overturn/rollover-Head on 0.3258315
## Parked Motor Vehicle-Head on 0.0000000
## Pedalcyclist-Head on 0.9943106
## Pedestrian-Head on 0.9998043
## Ran off road - left-Head on 0.9940858
## Ran off road - right-Head on 1.0000000
## Ran off road - straight-Head on 0.0471109
## Rear end, slow or stop-Head on 0.0000000
## Rear end, turn-Head on 1.0000000
## Right turn, different roadways-Head on 0.9999489
## Right turn, same roadway-Head on 1.0000000
## RR train, engine-Head on 1.0000000
## Sideswipe, opposite direction-Head on 0.9999667
## Sideswipe, same direction-Head on 0.0000000
## Left turn, different roadways-Jackknife 0.6918398
## Left turn, same roadway-Jackknife 0.0617939
## Moveable object*-Jackknife 1.0000000
## Other collision with vehicle*-Jackknife 1.0000000
## Other non-collision*-Jackknife 1.0000000
## Overturn/rollover-Jackknife 1.0000000
## Parked Motor Vehicle-Jackknife 0.0000000
## Pedalcyclist-Jackknife 1.0000000
## Pedestrian-Jackknife 1.0000000
## Ran off road - left-Jackknife 1.0000000
## Ran off road - right-Jackknife 1.0000000
## Ran off road - straight-Jackknife 1.0000000
## Rear end, slow or stop-Jackknife 0.0000000
## Rear end, turn-Jackknife 1.0000000
## Right turn, different roadways-Jackknife 0.9999895
## Right turn, same roadway-Jackknife 0.9999999
## RR train, engine-Jackknife 1.0000000
## Sideswipe, opposite direction-Jackknife 0.9999924
## Sideswipe, same direction-Jackknife 0.0000000
## Left turn, same roadway-Left turn, different roadways 0.0000373
## Moveable object*-Left turn, different roadways 0.0000000
## Other collision with vehicle*-Left turn, different roadways 0.0000000
## Other non-collision*-Left turn, different roadways 0.0000000
## Overturn/rollover-Left turn, different roadways 0.0000000
## Parked Motor Vehicle-Left turn, different roadways 0.0000000
## Pedalcyclist-Left turn, different roadways 0.0000035
## Pedestrian-Left turn, different roadways 0.0000000
## Ran off road - left-Left turn, different roadways 0.0000000
## Ran off road - right-Left turn, different roadways 0.0000000
## Ran off road - straight-Left turn, different roadways 0.0000000
## Rear end, slow or stop-Left turn, different roadways 0.0000000
## Rear end, turn-Left turn, different roadways 0.0000000
## Right turn, different roadways-Left turn, different roadways 0.0000053
## Right turn, same roadway-Left turn, different roadways 0.0000000
## RR train, engine-Left turn, different roadways 1.0000000
## Sideswipe, opposite direction-Left turn, different roadways 0.0000003
## Sideswipe, same direction-Left turn, different roadways 0.0000000
## Moveable object*-Left turn, same roadway 0.0000000
## Other collision with vehicle*-Left turn, same roadway 0.0000000
## Other non-collision*-Left turn, same roadway 0.0000000
## Overturn/rollover-Left turn, same roadway 0.0000000
## Parked Motor Vehicle-Left turn, same roadway 0.0000000
## Pedalcyclist-Left turn, same roadway 0.0000000
## Pedestrian-Left turn, same roadway 0.0000000
## Ran off road - left-Left turn, same roadway 0.0000000
## Ran off road - right-Left turn, same roadway 0.0000000
## Ran off road - straight-Left turn, same roadway 0.0000000
## Rear end, slow or stop-Left turn, same roadway 0.0000000
## Rear end, turn-Left turn, same roadway 0.0000000
## Right turn, different roadways-Left turn, same roadway 0.0000000
## Right turn, same roadway-Left turn, same roadway 0.0000000
## RR train, engine-Left turn, same roadway 1.0000000
## Sideswipe, opposite direction-Left turn, same roadway 0.0000000
## Sideswipe, same direction-Left turn, same roadway 0.0000000
## Other collision with vehicle*-Moveable object* 0.8899406
## Other non-collision*-Moveable object* 1.0000000
## Overturn/rollover-Moveable object* 0.9985979
## Parked Motor Vehicle-Moveable object* 0.0000000
## Pedalcyclist-Moveable object* 1.0000000
## Pedestrian-Moveable object* 0.9999998
## Ran off road - left-Moveable object* 1.0000000
## Ran off road - right-Moveable object* 0.8712375
## Ran off road - straight-Moveable object* 0.9739866
## Rear end, slow or stop-Moveable object* 0.0000000
## Rear end, turn-Moveable object* 0.9995790
## Right turn, different roadways-Moveable object* 0.0230762
## Right turn, same roadway-Moveable object* 0.3454581
## RR train, engine-Moveable object* 1.0000000
## Sideswipe, opposite direction-Moveable object* 0.0153658
## Sideswipe, same direction-Moveable object* 0.0000000
## Other non-collision*-Other collision with vehicle* 0.7616953
## Overturn/rollover-Other collision with vehicle* 0.3817709
## Parked Motor Vehicle-Other collision with vehicle* 0.0000000
## Pedalcyclist-Other collision with vehicle* 0.9972214
## Pedestrian-Other collision with vehicle* 0.9999648
## Ran off road - left-Other collision with vehicle* 0.9981647
## Ran off road - right-Other collision with vehicle* 1.0000000
## Ran off road - straight-Other collision with vehicle* 0.0628074
## Rear end, slow or stop-Other collision with vehicle* 0.0000000
## Rear end, turn-Other collision with vehicle* 1.0000000
## Right turn, different roadways-Other collision with vehicle* 0.9995673
## Right turn, same roadway-Other collision with vehicle* 1.0000000
## RR train, engine-Other collision with vehicle* 1.0000000
## Sideswipe, opposite direction-Other collision with vehicle* 0.9996640
## Sideswipe, same direction-Other collision with vehicle* 0.0000000
## Overturn/rollover-Other non-collision* 0.9999988
## Parked Motor Vehicle-Other non-collision* 0.0000000
## Pedalcyclist-Other non-collision* 1.0000000
## Pedestrian-Other non-collision* 0.9998035
## Ran off road - left-Other non-collision* 0.9999266
## Ran off road - right-Other non-collision* 0.7594145
## Ran off road - straight-Other non-collision* 0.9999747
## Rear end, slow or stop-Other non-collision* 0.0000000
## Rear end, turn-Other non-collision* 0.9908907
## Right turn, different roadways-Other non-collision* 0.0298260
## Right turn, same roadway-Other non-collision* 0.2871043
## RR train, engine-Other non-collision* 1.0000000
## Sideswipe, opposite direction-Other non-collision* 0.0242097
## Sideswipe, same direction-Other non-collision* 0.0000000
## Parked Motor Vehicle-Overturn/rollover 0.0000000
## Pedalcyclist-Overturn/rollover 0.9999996
## Pedestrian-Overturn/rollover 0.9220179
## Ran off road - left-Overturn/rollover 0.9365924
## Ran off road - right-Overturn/rollover 0.3991002
## Ran off road - straight-Overturn/rollover 1.0000000
## Rear end, slow or stop-Overturn/rollover 0.0000000
## Rear end, turn-Overturn/rollover 0.7729459
## Right turn, different roadways-Overturn/rollover 0.0201395
## Right turn, same roadway-Overturn/rollover 0.1301658
## RR train, engine-Overturn/rollover 1.0000000
## Sideswipe, opposite direction-Overturn/rollover 0.0188469
## Sideswipe, same direction-Overturn/rollover 0.0000000
## Pedalcyclist-Parked Motor Vehicle 0.0000000
## Pedestrian-Parked Motor Vehicle 0.0000000
## Ran off road - left-Parked Motor Vehicle 0.0000000
## Ran off road - right-Parked Motor Vehicle 0.0000000
## Ran off road - straight-Parked Motor Vehicle 0.0000000
## Rear end, slow or stop-Parked Motor Vehicle 0.0000000
## Rear end, turn-Parked Motor Vehicle 0.0000000
## Right turn, different roadways-Parked Motor Vehicle 0.0000000
## Right turn, same roadway-Parked Motor Vehicle 0.0000000
## RR train, engine-Parked Motor Vehicle 0.9885633
## Sideswipe, opposite direction-Parked Motor Vehicle 0.0000000
## Sideswipe, same direction-Parked Motor Vehicle 0.0000000
## Pedestrian-Pedalcyclist 1.0000000
## Ran off road - left-Pedalcyclist 1.0000000
## Ran off road - right-Pedalcyclist 0.9990281
## Ran off road - straight-Pedalcyclist 0.9999975
## Rear end, slow or stop-Pedalcyclist 0.0000000
## Rear end, turn-Pedalcyclist 0.9999834
## Right turn, different roadways-Pedalcyclist 0.6580271
## Right turn, same roadway-Pedalcyclist 0.9533284
## RR train, engine-Pedalcyclist 1.0000000
## Sideswipe, opposite direction-Pedalcyclist 0.6649731
## Sideswipe, same direction-Pedalcyclist 0.0000000
## Ran off road - left-Pedestrian 1.0000000
## Ran off road - right-Pedestrian 0.9999965
## Ran off road - straight-Pedestrian 0.6056776
## Rear end, slow or stop-Pedestrian 0.0000000
## Rear end, turn-Pedestrian 1.0000000
## Right turn, different roadways-Pedestrian 0.4658018
## Right turn, same roadway-Pedestrian 0.9751451
## RR train, engine-Pedestrian 1.0000000
## Sideswipe, opposite direction-Pedestrian 0.4306091
## Sideswipe, same direction-Pedestrian 0.0000000
## Ran off road - right-Ran off road - left 0.9989925
## Ran off road - straight-Ran off road - left 0.5972378
## Rear end, slow or stop-Ran off road - left 0.0000000
## Rear end, turn-Ran off road - left 1.0000000
## Right turn, different roadways-Ran off road - left 0.1320478
## Right turn, same roadway-Ran off road - left 0.8072583
## RR train, engine-Ran off road - left 1.0000000
## Sideswipe, opposite direction-Ran off road - left 0.0978402
## Sideswipe, same direction-Ran off road - left 0.0000000
## Ran off road - straight-Ran off road - right 0.0426255
## Rear end, slow or stop-Ran off road - right 0.0000000
## Rear end, turn-Ran off road - right 1.0000000
## Right turn, different roadways-Ran off road - right 0.9334121
## Right turn, same roadway-Ran off road - right 0.9999983
## RR train, engine-Ran off road - right 1.0000000
## Sideswipe, opposite direction-Ran off road - right 0.9225337
## Sideswipe, same direction-Ran off road - right 0.0000000
## Rear end, slow or stop-Ran off road - straight 0.0000000
## Rear end, turn-Ran off road - straight 0.3948157
## Right turn, different roadways-Ran off road - straight 0.0002058
## Right turn, same roadway-Ran off road - straight 0.0059800
## RR train, engine-Ran off road - straight 1.0000000
## Sideswipe, opposite direction-Ran off road - straight 0.0001358
## Sideswipe, same direction-Ran off road - straight 0.0000000
## Rear end, turn-Rear end, slow or stop 0.0000000
## Right turn, different roadways-Rear end, slow or stop 0.0000000
## Right turn, same roadway-Rear end, slow or stop 0.0000000
## RR train, engine-Rear end, slow or stop 0.0000000
## Sideswipe, opposite direction-Rear end, slow or stop 0.0000000
## Sideswipe, same direction-Rear end, slow or stop 0.0000000
## Right turn, different roadways-Rear end, turn 0.9866691
## Right turn, same roadway-Rear end, turn 0.9999987
## RR train, engine-Rear end, turn 1.0000000
## Sideswipe, opposite direction-Rear end, turn 0.9877902
## Sideswipe, same direction-Rear end, turn 0.0000000
## Right turn, same roadway-Right turn, different roadways 0.9999999
## RR train, engine-Right turn, different roadways 1.0000000
## Sideswipe, opposite direction-Right turn, different roadways 1.0000000
## Sideswipe, same direction-Right turn, different roadways 0.0000000
## RR train, engine-Right turn, same roadway 1.0000000
## Sideswipe, opposite direction-Right turn, same roadway 1.0000000
## Sideswipe, same direction-Right turn, same roadway 0.0000000
## Sideswipe, opposite direction-RR train, engine 1.0000000
## Sideswipe, same direction-RR train, engine 0.0703428
## Sideswipe, same direction-Sideswipe, opposite direction 0.0000000Is there a significant difference between the amount of crashes per each most harmful event?
crashes_most_harm = crashes %>%
separate(crash_date,
into = c("Date", "Hour"), sep = 11) %>%
filter(MostHarmfulEvent != "Unknown", MostHarmfulEvent != "NA") %>%
group_by(Date, MostHarmfulEvent) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'Date'. You can override using the `.groups` argument.anova_most_harm = aov(count ~ MostHarmfulEvent, data = crashes_most_harm)
summary(anova_most_harm)## Df Sum Sq Mean Sq F value Pr(>F)
## MostHarmfulEvent 24 7186710 299446 3177 <2e-16 ***
## Residuals 30461 2870875 94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova_most_harm)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = count ~ MostHarmfulEvent, data = crashes_most_harm)
##
## $MostHarmfulEvent
## diff
## Animal-Angle -17.03589811
## Backing up-Angle -4.94235793
## Fixed object*-Angle -13.46741493
## Head on-Angle -15.08933603
## Jackknife-Angle -16.57458255
## Left turn, different roadways-Angle -13.03759010
## Left turn, same roadway-Angle -11.49873661
## Moveable object*-Angle -16.33303873
## Other collision with vehicle*-Angle -15.29512497
## Other non-collision*-Angle -16.95794969
## Overturn/rollover-Angle -16.62752373
## Parked Motor Vehicle-Angle -4.67321338
## Pedalcyclist-Angle -16.53657723
## Pedestrian-Angle -15.86310351
## Ran off road - left-Angle -16.90934191
## Ran off road - right-Angle -16.82815041
## Ran off road - straight-Angle -17.56531900
## Rear end, slow or stop-Angle 41.08962893
## Rear end, turn-Angle -15.65600055
## Right turn, different roadways-Angle -14.92209877
## Right turn, same roadway-Angle -15.24574759
## RR train, engine-Angle -16.92752373
## Sideswipe, opposite direction-Angle -14.70306136
## Sideswipe, same direction-Angle 6.85680688
## Backing up-Animal 12.09354018
## Fixed object*-Animal 3.56848318
## Head on-Animal 1.94656209
## Jackknife-Animal 0.46131556
## Left turn, different roadways-Animal 3.99830801
## Left turn, same roadway-Animal 5.53716150
## Moveable object*-Animal 0.70285938
## Other collision with vehicle*-Animal 1.74077314
## Other non-collision*-Animal 0.07794842
## Overturn/rollover-Animal 0.40837438
## Parked Motor Vehicle-Animal 12.36268473
## Pedalcyclist-Animal 0.49932089
## Pedestrian-Animal 1.17279460
## Ran off road - left-Animal 0.12655620
## Ran off road - right-Animal 0.20774771
## Ran off road - straight-Animal -0.52942089
## Rear end, slow or stop-Animal 58.12552704
## Rear end, turn-Animal 1.37989756
## Right turn, different roadways-Animal 2.11379934
## Right turn, same roadway-Animal 1.79015052
## RR train, engine-Animal 0.10837438
## Sideswipe, opposite direction-Animal 2.33283675
## Sideswipe, same direction-Animal 23.89270499
## Fixed object*-Backing up -8.52505700
## Head on-Backing up -10.14697809
## Jackknife-Backing up -11.63222462
## Left turn, different roadways-Backing up -8.09523217
## Left turn, same roadway-Backing up -6.55637868
## Moveable object*-Backing up -11.39068080
## Other collision with vehicle*-Backing up -10.35276704
## Other non-collision*-Backing up -12.01559176
## Overturn/rollover-Backing up -11.68516579
## Parked Motor Vehicle-Backing up 0.26914455
## Pedalcyclist-Backing up -11.59421929
## Pedestrian-Backing up -10.92074558
## Ran off road - left-Backing up -11.96698398
## Ran off road - right-Backing up -11.88579247
## Ran off road - straight-Backing up -12.62296107
## Rear end, slow or stop-Backing up 46.03198686
## Rear end, turn-Backing up -10.71364262
## Right turn, different roadways-Backing up -9.97974084
## Right turn, same roadway-Backing up -10.30338966
## RR train, engine-Backing up -11.98516579
## Sideswipe, opposite direction-Backing up -9.76070343
## Sideswipe, same direction-Backing up 11.79916481
## Head on-Fixed object* -1.62192109
## Jackknife-Fixed object* -3.10716762
## Left turn, different roadways-Fixed object* 0.42982483
## Left turn, same roadway-Fixed object* 1.96867832
## Moveable object*-Fixed object* -2.86562380
## Other collision with vehicle*-Fixed object* -1.82771004
## Other non-collision*-Fixed object* -3.49053476
## Overturn/rollover-Fixed object* -3.16010879
## Parked Motor Vehicle-Fixed object* 8.79420155
## Pedalcyclist-Fixed object* -3.06916229
## Pedestrian-Fixed object* -2.39568858
## Ran off road - left-Fixed object* -3.44192698
## Ran off road - right-Fixed object* -3.36073547
## Ran off road - straight-Fixed object* -4.09790407
## Rear end, slow or stop-Fixed object* 54.55704386
## Rear end, turn-Fixed object* -2.18858562
## Right turn, different roadways-Fixed object* -1.45468384
## Right turn, same roadway-Fixed object* -1.77833266
## RR train, engine-Fixed object* -3.46010879
## Sideswipe, opposite direction-Fixed object* -1.23564643
## Sideswipe, same direction-Fixed object* 20.32422181
## Jackknife-Head on -1.48524653
## Left turn, different roadways-Head on 2.05174593
## Left turn, same roadway-Head on 3.59059941
## Moveable object*-Head on -1.24370271
## Other collision with vehicle*-Head on -0.20578895
## Other non-collision*-Head on -1.86861367
## Overturn/rollover-Head on -1.53818770
## Parked Motor Vehicle-Head on 10.41612264
## Pedalcyclist-Head on -1.44724120
## Pedestrian-Head on -0.77376748
## Ran off road - left-Head on -1.82000588
## Ran off road - right-Head on -1.73881438
## Ran off road - straight-Head on -2.47598298
## Rear end, slow or stop-Head on 56.17896496
## Rear end, turn-Head on -0.56666452
## Right turn, different roadways-Head on 0.16723725
## Right turn, same roadway-Head on -0.15641157
## RR train, engine-Head on -1.83818770
## Sideswipe, opposite direction-Head on 0.38627466
## Sideswipe, same direction-Head on 21.94614290
## Left turn, different roadways-Jackknife 3.53699245
## Left turn, same roadway-Jackknife 5.07584594
## Moveable object*-Jackknife 0.24154382
## Other collision with vehicle*-Jackknife 1.27945758
## Other non-collision*-Jackknife -0.38336714
## Overturn/rollover-Jackknife -0.05294118
## Parked Motor Vehicle-Jackknife 11.90136917
## Pedalcyclist-Jackknife 0.03800533
## Pedestrian-Jackknife 0.71147904
## Ran off road - left-Jackknife -0.33475936
## Ran off road - right-Jackknife -0.25356786
## Ran off road - straight-Jackknife -0.99073645
## Rear end, slow or stop-Jackknife 57.66421148
## Rear end, turn-Jackknife 0.91858200
## Right turn, different roadways-Jackknife 1.65248378
## Right turn, same roadway-Jackknife 1.32883496
## RR train, engine-Jackknife -0.35294118
## Sideswipe, opposite direction-Jackknife 1.87152119
## Sideswipe, same direction-Jackknife 23.43138943
## Left turn, same roadway-Left turn, different roadways 1.53885349
## Moveable object*-Left turn, different roadways -3.29544863
## Other collision with vehicle*-Left turn, different roadways -2.25753487
## Other non-collision*-Left turn, different roadways -3.92035959
## Overturn/rollover-Left turn, different roadways -3.58993363
## Parked Motor Vehicle-Left turn, different roadways 8.36437672
## Pedalcyclist-Left turn, different roadways -3.49898713
## Pedestrian-Left turn, different roadways -2.82551341
## Ran off road - left-Left turn, different roadways -3.87175181
## Ran off road - right-Left turn, different roadways -3.79056031
## Ran off road - straight-Left turn, different roadways -4.52772890
## Rear end, slow or stop-Left turn, different roadways 54.12721903
## Rear end, turn-Left turn, different roadways -2.61841045
## Right turn, different roadways-Left turn, different roadways -1.88450867
## Right turn, same roadway-Left turn, different roadways -2.20815750
## RR train, engine-Left turn, different roadways -3.88993363
## Sideswipe, opposite direction-Left turn, different roadways -1.66547126
## Sideswipe, same direction-Left turn, different roadways 19.89439698
## Moveable object*-Left turn, same roadway -4.83430212
## Other collision with vehicle*-Left turn, same roadway -3.79638836
## Other non-collision*-Left turn, same roadway -5.45921308
## Overturn/rollover-Left turn, same roadway -5.12878712
## Parked Motor Vehicle-Left turn, same roadway 6.82552323
## Pedalcyclist-Left turn, same roadway -5.03784061
## Pedestrian-Left turn, same roadway -4.36436690
## Ran off road - left-Left turn, same roadway -5.41060530
## Ran off road - right-Left turn, same roadway -5.32941379
## Ran off road - straight-Left turn, same roadway -6.06658239
## Rear end, slow or stop-Left turn, same roadway 52.58836554
## Rear end, turn-Left turn, same roadway -4.15726394
## Right turn, different roadways-Left turn, same roadway -3.42336216
## Right turn, same roadway-Left turn, same roadway -3.74701098
## RR train, engine-Left turn, same roadway -5.42878712
## Sideswipe, opposite direction-Left turn, same roadway -3.20432475
## Sideswipe, same direction-Left turn, same roadway 18.35554349
## Other collision with vehicle*-Moveable object* 1.03791376
## Other non-collision*-Moveable object* -0.62491096
## Overturn/rollover-Moveable object* -0.29448500
## Parked Motor Vehicle-Moveable object* 11.65982535
## Pedalcyclist-Moveable object* -0.20353849
## Pedestrian-Moveable object* 0.46993522
## Ran off road - left-Moveable object* -0.57630318
## Ran off road - right-Moveable object* -0.49511167
## Ran off road - straight-Moveable object* -1.23228027
## Rear end, slow or stop-Moveable object* 57.42266766
## Rear end, turn-Moveable object* 0.67703818
## Right turn, different roadways-Moveable object* 1.41093996
## Right turn, same roadway-Moveable object* 1.08729114
## RR train, engine-Moveable object* -0.59448500
## Sideswipe, opposite direction-Moveable object* 1.62997737
## Sideswipe, same direction-Moveable object* 23.18984561
## Other non-collision*-Other collision with vehicle* -1.66282472
## Overturn/rollover-Other collision with vehicle* -1.33239875
## Parked Motor Vehicle-Other collision with vehicle* 10.62191159
## Pedalcyclist-Other collision with vehicle* -1.24145225
## Pedestrian-Other collision with vehicle* -0.56797854
## Ran off road - left-Other collision with vehicle* -1.61421694
## Ran off road - right-Other collision with vehicle* -1.53302543
## Ran off road - straight-Other collision with vehicle* -2.27019403
## Rear end, slow or stop-Other collision with vehicle* 56.38475390
## Rear end, turn-Other collision with vehicle* -0.36087558
## Right turn, different roadways-Other collision with vehicle* 0.37302620
## Right turn, same roadway-Other collision with vehicle* 0.04937738
## RR train, engine-Other collision with vehicle* -1.63239875
## Sideswipe, opposite direction-Other collision with vehicle* 0.59206361
## Sideswipe, same direction-Other collision with vehicle* 22.15193185
## Overturn/rollover-Other non-collision* 0.33042596
## Parked Motor Vehicle-Other non-collision* 12.28473631
## Pedalcyclist-Other non-collision* 0.42137247
## Pedestrian-Other non-collision* 1.09484618
## Ran off road - left-Other non-collision* 0.04860778
## Ran off road - right-Other non-collision* 0.12979928
## Ran off road - straight-Other non-collision* -0.60736931
## Rear end, slow or stop-Other non-collision* 58.04757862
## Rear end, turn-Other non-collision* 1.30194914
## Right turn, different roadways-Other non-collision* 2.03585092
## Right turn, same roadway-Other non-collision* 1.71220210
## RR train, engine-Other non-collision* 0.03042596
## Sideswipe, opposite direction-Other non-collision* 2.25488833
## Sideswipe, same direction-Other non-collision* 23.81475657
## Parked Motor Vehicle-Overturn/rollover 11.95431034
## Pedalcyclist-Overturn/rollover 0.09094650
## Pedestrian-Overturn/rollover 0.76442022
## Ran off road - left-Overturn/rollover -0.28181818
## Ran off road - right-Overturn/rollover -0.20062668
## Ran off road - straight-Overturn/rollover -0.93779528
## Rear end, slow or stop-Overturn/rollover 57.71715266
## Rear end, turn-Overturn/rollover 0.97152318
## Right turn, different roadways-Overturn/rollover 1.70542495
## Right turn, same roadway-Overturn/rollover 1.38177613
## RR train, engine-Overturn/rollover -0.30000000
## Sideswipe, opposite direction-Overturn/rollover 1.92446237
## Sideswipe, same direction-Overturn/rollover 23.48433061
## Pedalcyclist-Parked Motor Vehicle -11.86336384
## Pedestrian-Parked Motor Vehicle -11.18989013
## Ran off road - left-Parked Motor Vehicle -12.23612853
## Ran off road - right-Parked Motor Vehicle -12.15493702
## Ran off road - straight-Parked Motor Vehicle -12.89210562
## Rear end, slow or stop-Parked Motor Vehicle 45.76284231
## Rear end, turn-Parked Motor Vehicle -10.98278717
## Right turn, different roadways-Parked Motor Vehicle -10.24888539
## Right turn, same roadway-Parked Motor Vehicle -10.57253421
## RR train, engine-Parked Motor Vehicle -12.25431034
## Sideswipe, opposite direction-Parked Motor Vehicle -10.02984798
## Sideswipe, same direction-Parked Motor Vehicle 11.53002026
## Pedestrian-Pedalcyclist 0.67347372
## Ran off road - left-Pedalcyclist -0.37276468
## Ran off road - right-Pedalcyclist -0.29157318
## Ran off road - straight-Pedalcyclist -1.02874178
## Rear end, slow or stop-Pedalcyclist 57.62620616
## Rear end, turn-Pedalcyclist 0.88057668
## Right turn, different roadways-Pedalcyclist 1.61447845
## Right turn, same roadway-Pedalcyclist 1.29082963
## RR train, engine-Pedalcyclist -0.39094650
## Sideswipe, opposite direction-Pedalcyclist 1.83351586
## Sideswipe, same direction-Pedalcyclist 23.39338410
## Ran off road - left-Pedestrian -1.04623840
## Ran off road - right-Pedestrian -0.96504690
## Ran off road - straight-Pedestrian -1.70221549
## Rear end, slow or stop-Pedestrian 56.95273244
## Rear end, turn-Pedestrian 0.20710296
## Right turn, different roadways-Pedestrian 0.94100474
## Right turn, same roadway-Pedestrian 0.61735592
## RR train, engine-Pedestrian -1.06442022
## Sideswipe, opposite direction-Pedestrian 1.16004215
## Sideswipe, same direction-Pedestrian 22.71991039
## Ran off road - right-Ran off road - left 0.08119150
## Ran off road - straight-Ran off road - left -0.65597709
## Rear end, slow or stop-Ran off road - left 57.99897084
## Rear end, turn-Ran off road - left 1.25334136
## Right turn, different roadways-Ran off road - left 1.98724314
## Right turn, same roadway-Ran off road - left 1.66359432
## RR train, engine-Ran off road - left -0.01818182
## Sideswipe, opposite direction-Ran off road - left 2.20628055
## Sideswipe, same direction-Ran off road - left 23.76614879
## Ran off road - straight-Ran off road - right -0.73716860
## Rear end, slow or stop-Ran off road - right 57.91777934
## Rear end, turn-Ran off road - right 1.17214986
## Right turn, different roadways-Ran off road - right 1.90605163
## Right turn, same roadway-Ran off road - right 1.58240281
## RR train, engine-Ran off road - right -0.09937332
## Sideswipe, opposite direction-Ran off road - right 2.12508904
## Sideswipe, same direction-Ran off road - right 23.68495729
## Rear end, slow or stop-Ran off road - straight 58.65494793
## Rear end, turn-Ran off road - straight 1.90931845
## Right turn, different roadways-Ran off road - straight 2.64322023
## Right turn, same roadway-Ran off road - straight 2.31957141
## RR train, engine-Ran off road - straight 0.63779528
## Sideswipe, opposite direction-Ran off road - straight 2.86225764
## Sideswipe, same direction-Ran off road - straight 24.42212588
## Rear end, turn-Rear end, slow or stop -56.74562948
## Right turn, different roadways-Rear end, slow or stop -56.01172770
## Right turn, same roadway-Rear end, slow or stop -56.33537653
## RR train, engine-Rear end, slow or stop -58.01715266
## Sideswipe, opposite direction-Rear end, slow or stop -55.79269029
## Sideswipe, same direction-Rear end, slow or stop -34.23282205
## Right turn, different roadways-Rear end, turn 0.73390178
## Right turn, same roadway-Rear end, turn 0.41025295
## RR train, engine-Rear end, turn -1.27152318
## Sideswipe, opposite direction-Rear end, turn 0.95293919
## Sideswipe, same direction-Rear end, turn 22.51280743
## Right turn, same roadway-Right turn, different roadways -0.32364882
## RR train, engine-Right turn, different roadways -2.00542495
## Sideswipe, opposite direction-Right turn, different roadways 0.21903741
## Sideswipe, same direction-Right turn, different roadways 21.77890565
## RR train, engine-Right turn, same roadway -1.68177613
## Sideswipe, opposite direction-Right turn, same roadway 0.54268623
## Sideswipe, same direction-Right turn, same roadway 22.10255447
## Sideswipe, opposite direction-RR train, engine 2.22446237
## Sideswipe, same direction-RR train, engine 23.78433061
## Sideswipe, same direction-Sideswipe, opposite direction 21.55986824
## lwr
## Animal-Angle -18.484001820
## Backing up-Angle -5.988398838
## Fixed object*-Angle -14.523658448
## Head on-Angle -16.469316669
## Jackknife-Angle -22.709160817
## Left turn, different roadways-Angle -14.151809998
## Left turn, same roadway-Angle -12.584394908
## Moveable object*-Angle -17.584736014
## Other collision with vehicle*-Angle -16.656555496
## Other non-collision*-Angle -18.719165092
## Overturn/rollover-Angle -18.150714403
## Parked Motor Vehicle-Angle -5.716075499
## Pedalcyclist-Angle -18.931034896
## Pedestrian-Angle -17.202429599
## Ran off road - left-Angle -18.348971377
## Ran off road - right-Angle -18.121578517
## Ran off road - straight-Angle -19.912378696
## Rear end, slow or stop-Angle 40.048108689
## Rear end, turn-Angle -17.278285531
## Right turn, different roadways-Angle -16.219860093
## Right turn, same roadway-Angle -16.553628643
## RR train, engine-Angle -52.446127529
## Sideswipe, opposite direction-Angle -15.882671341
## Sideswipe, same direction-Angle 5.814281369
## Backing up-Animal 10.643307248
## Fixed object*-Animal 2.110874060
## Head on-Animal 0.239716881
## Jackknife-Animal -5.754955386
## Left turn, different roadways-Animal 2.498154700
## Left turn, same roadway-Animal 4.058098312
## Moveable object*-Animal -0.902045622
## Other collision with vehicle*-Animal 0.048890445
## Other non-collision*-Animal -1.949575603
## Overturn/rollover-Animal -1.416203324
## Parked Motor Vehicle-Animal 10.914742959
## Pedalcyclist-Animal -2.097292584
## Pedestrian-Animal -0.501352450
## Ran off road - left-Animal -1.628865964
## Ran off road - right-Animal -1.429912289
## Ran off road - straight-Animal -3.082392333
## Rear end, slow or stop-Animal 56.678551441
## Rear end, turn-Animal -0.528185911
## Right turn, different roadways-Animal 0.472714813
## Right turn, same roadway-Animal 0.141051729
## RR train, engine-Animal -35.424430036
## Sideswipe, opposite direction-Animal 0.783496994
## Sideswipe, same direction-Animal 22.445005638
## Fixed object*-Backing up -9.584217783
## Head on-Backing up -11.529192902
## Jackknife-Backing up -17.767305848
## Left turn, different roadways-Backing up -9.212217924
## Left turn, same roadway-Backing up -7.644875412
## Moveable object*-Backing up -12.644840791
## Other collision with vehicle*-Backing up -11.716462120
## Other non-collision*-Backing up -13.778558261
## Overturn/rollover-Backing up -13.210380873
## Parked Motor Vehicle-Backing up -0.776672161
## Pedalcyclist-Backing up -13.989965259
## Pedestrian-Backing up -12.262373533
## Ran off road - left-Backing up -13.408755181
## Ran off road - right-Backing up -13.181603987
## Ran off road - straight-Backing up -14.971335062
## Rear end, slow or stop-Backing up 44.987508231
## Rear end, turn-Backing up -12.337828493
## Right turn, different roadways-Backing up -11.279877619
## Right turn, same roadway-Backing up -11.613627822
## RR train, engine-Backing up -47.503856468
## Sideswipe, opposite direction-Backing up -10.942926294
## Sideswipe, same direction-Backing up 10.753683756
## Head on-Fixed object* -3.011873095
## Jackknife-Fixed object* -9.243996644
## Left turn, different roadways-Fixed object* -0.696721203
## Left turn, same roadway-Fixed object* 0.870373296
## Moveable object*-Fixed object* -4.128305895
## Other collision with vehicle*-Fixed object* -3.199246791
## Other non-collision*-Fixed object* -5.259573955
## Overturn/rollover-Fixed object* -4.692339138
## Parked Motor Vehicle-Fixed object* 7.738180062
## Pedalcyclist-Fixed object* -5.469380517
## Pedestrian-Fixed object* -3.745286429
## Ran off road - left-Fixed object* -4.891117438
## Ran off road - right-Fixed object* -4.664796925
## Ran off road - straight-Fixed object* -6.450840362
## Rear end, slow or stop-Fixed object* 53.502347507
## Rear end, turn-Fixed object* -3.819361062
## Right turn, different roadways-Fixed object* -2.763043284
## Right turn, same roadway-Fixed object* -3.096730487
## RR train, engine-Fixed object* -38.979101404
## Sideswipe, opposite direction-Fixed object* -2.426906137
## Sideswipe, same direction-Fixed object* 19.268532734
## Jackknife-Head on -7.686001860
## Left turn, different roadways-Head on 0.617241765
## Left turn, same roadway-Head on 2.178165293
## Moveable object*-Head on -2.787419744
## Other collision with vehicle*-Head on -1.839744050
## Other non-collision*-Head on -3.848056996
## Overturn/rollover-Head on -3.309183479
## Parked Motor Vehicle-Head on 9.036311931
## Pedalcyclist-Head on -4.006487914
## Pedestrian-Head on -2.389351150
## Ran off road - left-Head on -3.519667383
## Ran off road - right-Head on -3.316557226
## Ran off road - straight-Head on -4.990939322
## Rear end, slow or stop-Head on 54.800168154
## Rear end, turn-Head on -2.423577222
## Right turn, different roadways-Head on -1.414059890
## Right turn, same roadway-Head on -1.746024429
## RR train, engine-Head on -37.368281035
## Sideswipe, opposite direction-Head on -1.099590711
## Sideswipe, same direction-Head on 20.566586583
## Left turn, different roadways-Jackknife -2.610080520
## Left turn, same roadway-Jackknife -1.066114177
## Moveable object*-Jackknife -5.931928965
## Other collision with vehicle*-Jackknife -4.917195810
## Other non-collision*-Jackknife -6.679945562
## Overturn/rollover-Jackknife -6.287131578
## Parked Motor Vehicle-Jackknife 5.766829126
## Pedalcyclist-Jackknife -6.464182588
## Pedestrian-Jackknife -5.480355461
## Ran off road - left-Jackknife -6.549061663
## Ran off road - right-Jackknife -6.435636798
## Ran off road - straight-Jackknife -7.475619592
## Rear end, slow or stop-Jackknife 51.529899414
## Rear end, turn-Jackknife -5.340557611
## Right turn, different roadways-Jackknife -4.530493221
## Right turn, same roadway-Jackknife -4.856274013
## RR train, engine-Jackknife -36.382321356
## Sideswipe, opposite direction-Jackknife -4.287740117
## Sideswipe, same direction-Jackknife 17.296906602
## Left turn, same roadway-Left turn, different roadways 0.384682985
## Moveable object*-Left turn, different roadways -4.607013232
## Other collision with vehicle*-Left turn, different roadways -3.674203036
## Other non-collision*-Left turn, different roadways -5.724614369
## Overturn/rollover-Left turn, different roadways -5.162690903
## Parked Motor Vehicle-Left turn, different roadways 7.250367289
## Pedalcyclist-Left turn, different roadways -5.925277123
## Pedestrian-Left turn, different roadways -4.220952404
## Ran off road - left-Left turn, different roadways -5.363726547
## Ran off road - right-Left turn, different roadways -5.142008378
## Ran off road - straight-Left turn, different roadways -6.907255079
## Rear end, slow or stop-Left turn, different roadways 53.014465677
## Rear end, turn-Left turn, different roadways -4.287321524
## Right turn, different roadways-Left turn, different roadways -3.240104504
## Right turn, same roadway-Left turn, different roadways -3.573444442
## RR train, engine-Left turn, different roadways -39.410697579
## Sideswipe, opposite direction-Left turn, different roadways -2.908425531
## Sideswipe, same direction-Left turn, different roadways 18.780702653
## Moveable object*-Left turn, same roadway -6.121690816
## Other collision with vehicle*-Left turn, same roadway -5.190704193
## Other non-collision*-Left turn, same roadway -7.245970830
## Overturn/rollover-Left turn, same roadway -6.681440781
## Parked Motor Vehicle-Left turn, same roadway 5.740080941
## Pedalcyclist-Left turn, same roadway -7.451147702
## Pedestrian-Left turn, same roadway -5.737107930
## Ran off road - left-Left turn, same roadway -6.881372639
## Ran off road - right-Left turn, same roadway -6.657412231
## Ran off road - straight-Left turn, same roadway -8.432869097
## Rear end, slow or stop-Left turn, same roadway 51.504212426
## Rear end, turn-Left turn, same roadway -5.807243371
## Right turn, different roadways-Left turn, same roadway -4.755581367
## Right turn, same roadway-Left turn, same roadway -5.089090118
## RR train, engine-Left turn, same roadway -40.948666615
## Sideswipe, opposite direction-Left turn, same roadway -4.421741388
## Sideswipe, same direction-Left turn, same roadway 17.270424601
## Other collision with vehicle*-Moveable object* -0.489243334
## Other non-collision*-Moveable object* -2.517157087
## Overturn/rollover-Moveable object* -1.967454078
## Parked Motor Vehicle-Moveable object* 10.408315418
## Pedalcyclist-Moveable object* -2.695955644
## Pedestrian-Moveable object* -1.037549467
## Ran off road - left-Moveable object* -2.173566062
## Ran off road - right-Moveable object* -1.961969539
## Ran off road - straight-Moveable object* -3.679197704
## Rear end, slow or stop-Moveable object* 56.172275672
## Rear end, turn-Moveable object* -1.086629666
## Right turn, different roadways-Moveable object* -0.059740210
## Right turn, same roadway-Moveable object* -0.392326567
## RR train, engine-Moveable object* -36.119827102
## Sideswipe, opposite direction-Moveable object* 0.262426487
## Sideswipe, same direction-Moveable object* 21.938616154
## Other non-collision*-Other collision with vehicle* -3.629380688
## Overturn/rollover-Other collision with vehicle* -3.088978536
## Parked Motor Vehicle-Other collision with vehicle* 9.260653316
## Pedalcyclist-Other collision with vehicle* -3.790744356
## Pedestrian-Other collision with vehicle* -2.167746354
## Ran off road - left-Other collision with vehicle* -3.298852119
## Ran off road - right-Other collision with vehicle* -3.094569212
## Ran off road - straight-Other collision with vehicle* -4.775019752
## Rear end, slow or stop-Other collision with vehicle* 55.024523369
## Rear end, turn-Other collision with vehicle* -2.204044385
## Right turn, different roadways-Other collision with vehicle* -1.192108663
## Right turn, same roadway-Other collision with vehicle* -1.524158618
## RR train, engine-Other collision with vehicle* -37.161776439
## Sideswipe, opposite direction-Other collision with vehicle* -0.876589649
## Sideswipe, same direction-Other collision with vehicle* 20.790931436
## Overturn/rollover-Other non-collision* -1.751390348
## Parked Motor Vehicle-Other non-collision* 10.523654052
## Pedalcyclist-Other non-collision* -2.362020581
## Pedestrian-Other non-collision* -0.856472268
## Ran off road - left-Other non-collision* -1.972872449
## Ran off road - right-Other non-collision* -1.790306337
## Ran off road - straight-Other non-collision* -3.350093965
## Rear end, slow or stop-Other non-collision* 56.287290653
## Rear end, turn-Other non-collision* -0.853429684
## Right turn, different roadways-Other non-collision* 0.112823679
## Right turn, same roadway-Other non-collision* -0.217668924
## RR train, engine-Other non-collision* -35.516515752
## Sideswipe, opposite direction-Other non-collision* 0.409534970
## Sideswipe, same direction-Other non-collision* 22.053873622
## Parked Motor Vehicle-Overturn/rollover 10.431273623
## Pedalcyclist-Overturn/rollover -2.548278194
## Pedestrian-Overturn/rollover -0.975083687
## Ran off road - left-Overturn/rollover -2.099677491
## Ran off road - right-Overturn/rollover -1.905043219
## Ran off road - straight-Overturn/rollover -3.534094308
## Rear end, slow or stop-Overturn/rollover 56.195034438
## Rear end, turn-Overturn/rollover -0.994154320
## Right turn, different roadways-Overturn/rollover -0.002282253
## Right turn, same roadway-Overturn/rollover -0.333634109
## RR train, engine-Overturn/rollover -35.835943712
## Sideswipe, opposite direction-Overturn/rollover 0.304721903
## Sideswipe, same direction-Overturn/rollover 21.961524348
## Pedalcyclist-Parked Motor Vehicle -14.257723581
## Pedestrian-Parked Motor Vehicle -12.529041125
## Ran off road - left-Parked Motor Vehicle -13.675595104
## Ran off road - right-Parked Motor Vehicle -13.448183829
## Ran off road - straight-Parked Motor Vehicle -15.239065404
## Rear end, slow or stop-Parked Motor Vehicle 44.721547238
## Rear end, turn-Parked Motor Vehicle -12.604927600
## Right turn, different roadways-Parked Motor Vehicle -11.546466010
## Right turn, same roadway-Parked Motor Vehicle -11.880235958
## RR train, engine-Parked Motor Vehicle -47.772907545
## Sideswipe, opposite direction-Parked Motor Vehicle -11.209259156
## Sideswipe, same direction-Parked Motor Vehicle 10.487719701
## Pedestrian-Pedalcyclist -1.864082498
## Ran off road - left-Pedalcyclist -2.964661705
## Ran off road - right-Pedalcyclist -2.805206695
## Ran off road - straight-Pedalcyclist -4.215289497
## Rear end, slow or stop-Pedalcyclist 55.232430566
## Rear end, turn-Pedalcyclist -1.817052973
## Right turn, different roadways-Pedalcyclist -0.901387523
## Right turn, same roadway-Pedalcyclist -1.230271319
## RR train, engine-Pedalcyclist -35.974884075
## Sideswipe, opposite direction-Pedalcyclist -0.623489807
## Sideswipe, same direction-Pedalcyclist 20.999170956
## Ran off road - left-Pedestrian -2.713060828
## Ran off road - right-Pedestrian -2.507356944
## Ran off road - straight-Pedestrian -4.195095998
## Rear end, slow or stop-Pedestrian 55.614626161
## Rear end, turn-Pedestrian -1.619799491
## Right turn, different roadways-Pedestrian -0.604941073
## Right turn, same roadway-Pedestrian -0.937094740
## RR train, engine-Pedestrian -36.592957762
## Sideswipe, opposite direction-Pedestrian -0.288144203
## Sideswipe, same direction-Pedestrian 21.381021506
## Ran off road - right-Ran off road - left -1.548979933
## Ran off road - straight-Ran off road - left -3.204151310
## Rear end, slow or stop-Ran off road - left 56.560476125
## Rear end, turn-Ran off road - left -0.648318756
## Right turn, different roadways-Ran off road - left 0.353631470
## Right turn, same roadway-Ran off road - left 0.021931904
## RR train, engine-Ran off road - left -35.550641889
## Sideswipe, opposite direction-Ran off road - left 0.664858368
## Sideswipe, same direction-Ran off road - left 22.326926057
## Ran off road - straight-Ran off road - right -3.205693483
## Rear end, slow or stop-Ran off road - right 56.625614363
## Rear end, turn-Ran off road - right -0.621375852
## Right turn, different roadways-Ran off road - right 0.399694985
## Right turn, same roadway-Ran off road - right 0.067319070
## RR train, engine-Ran off road - right -35.626210247
## Sideswipe, opposite direction-Ran off road - right 0.719242107
## Sideswipe, same direction-Ran off road - right 22.391981900
## Rear end, slow or stop-Ran off road - straight 56.308584099
## Rear end, turn-Ran off road - straight -0.746329752
## Right turn, different roadways-Ran off road - straight 0.172422125
## Right turn, same roadway-Ran off road - straight -0.156556954
## RR train, engine-Ran off road - straight -34.942984295
## Sideswipe, opposite direction-Ran off road - straight 0.451419916
## Sideswipe, same direction-Ran off road - straight 22.075315649
## Rear end, turn-Rear end, slow or stop -58.366907558
## Right turn, different roadways-Rear end, slow or stop -57.308230110
## Right turn, same roadway-Rear end, slow or stop -57.642008409
## RR train, engine-Rear end, slow or stop -93.535710485
## Sideswipe, opposite direction-Rear end, slow or stop -56.970915121
## Sideswipe, same direction-Rear end, slow or stop -35.273780015
## Right turn, different roadways-Rear end, turn -1.062751401
## Right turn, same roadway-Rear end, turn -1.393723495
## RR train, engine-Rear end, turn -36.811852302
## Sideswipe, opposite direction-Rear end, turn -0.760320249
## Sideswipe, same direction-Rear end, turn 20.890883376
## Right turn, same roadway-Right turn, different roadways -1.842433504
## RR train, engine-Right turn, different roadways -37.532419904
## Sideswipe, opposite direction-Right turn, different roadways -1.190797252
## Sideswipe, same direction-Right turn, different roadways 20.481595546
## RR train, engine-Right turn, same roadway -37.209142184
## Sideswipe, opposite direction-Right turn, same roadway -0.876469209
## Sideswipe, same direction-Right turn, same roadway 20.795121147
## Sideswipe, opposite direction-RR train, engine -33.298412875
## Sideswipe, same direction-RR train, engine -11.734256711
## Sideswipe, same direction-Sideswipe, opposite direction 20.380754689
## upr
## Animal-Angle -15.58779440
## Backing up-Angle -3.89631703
## Fixed object*-Angle -12.41117142
## Head on-Angle -13.70935538
## Jackknife-Angle -10.44000428
## Left turn, different roadways-Angle -11.92337020
## Left turn, same roadway-Angle -10.41307831
## Moveable object*-Angle -15.08134145
## Other collision with vehicle*-Angle -13.93369445
## Other non-collision*-Angle -15.19673429
## Overturn/rollover-Angle -15.10433305
## Parked Motor Vehicle-Angle -3.63035127
## Pedalcyclist-Angle -14.14211955
## Pedestrian-Angle -14.52377742
## Ran off road - left-Angle -15.46971244
## Ran off road - right-Angle -15.53472229
## Ran off road - straight-Angle -15.21825931
## Rear end, slow or stop-Angle 42.13114917
## Rear end, turn-Angle -14.03371557
## Right turn, different roadways-Angle -13.62433745
## Right turn, same roadway-Angle -13.93786655
## RR train, engine-Angle 18.59108007
## Sideswipe, opposite direction-Angle -13.52345138
## Sideswipe, same direction-Angle 7.89933239
## Backing up-Animal 13.54377311
## Fixed object*-Animal 5.02609230
## Head on-Animal 3.65340729
## Jackknife-Animal 6.67758651
## Left turn, different roadways-Animal 5.49846132
## Left turn, same roadway-Animal 7.01622469
## Moveable object*-Animal 2.30776438
## Other collision with vehicle*-Animal 3.43265583
## Other non-collision*-Animal 2.10547244
## Overturn/rollover-Animal 2.23295209
## Parked Motor Vehicle-Animal 13.81062650
## Pedalcyclist-Animal 3.09593436
## Pedestrian-Animal 2.84694165
## Ran off road - left-Animal 1.88197837
## Ran off road - right-Animal 1.84540770
## Ran off road - straight-Animal 2.02355055
## Rear end, slow or stop-Animal 59.57250264
## Rear end, turn-Animal 3.28798104
## Right turn, different roadways-Animal 3.75488387
## Right turn, same roadway-Animal 3.43924931
## RR train, engine-Animal 35.64117880
## Sideswipe, opposite direction-Animal 3.88217651
## Sideswipe, same direction-Animal 25.34040434
## Fixed object*-Backing up -7.46589622
## Head on-Backing up -8.76476328
## Jackknife-Backing up -5.49714339
## Left turn, different roadways-Backing up -6.97824641
## Left turn, same roadway-Backing up -5.46788194
## Moveable object*-Backing up -10.13652080
## Other collision with vehicle*-Backing up -8.98907196
## Other non-collision*-Backing up -10.25262525
## Overturn/rollover-Backing up -10.15995072
## Parked Motor Vehicle-Backing up 1.31496126
## Pedalcyclist-Backing up -9.19847333
## Pedestrian-Backing up -9.57911762
## Ran off road - left-Backing up -10.52521277
## Ran off road - right-Backing up -10.58998096
## Ran off road - straight-Backing up -10.27458708
## Rear end, slow or stop-Backing up 47.07646550
## Rear end, turn-Backing up -9.08945674
## Right turn, different roadways-Backing up -8.67960406
## Right turn, same roadway-Backing up -8.99315150
## RR train, engine-Backing up 23.53352488
## Sideswipe, opposite direction-Backing up -8.57848056
## Sideswipe, same direction-Backing up 12.84464587
## Head on-Fixed object* -0.23196909
## Jackknife-Fixed object* 3.02966141
## Left turn, different roadways-Fixed object* 1.55637087
## Left turn, same roadway-Fixed object* 3.06698335
## Moveable object*-Fixed object* -1.60294170
## Other collision with vehicle*-Fixed object* -0.45617329
## Other non-collision*-Fixed object* -1.72149556
## Overturn/rollover-Fixed object* -1.62787845
## Parked Motor Vehicle-Fixed object* 9.85022304
## Pedalcyclist-Fixed object* -0.66894407
## Pedestrian-Fixed object* -1.04609072
## Ran off road - left-Fixed object* -1.99273651
## Ran off road - right-Fixed object* -2.05667402
## Ran off road - straight-Fixed object* -1.74496778
## Rear end, slow or stop-Fixed object* 55.61174022
## Rear end, turn-Fixed object* -0.55781017
## Right turn, different roadways-Fixed object* -0.14632439
## Right turn, same roadway-Fixed object* -0.45993483
## RR train, engine-Fixed object* 32.05888382
## Sideswipe, opposite direction-Fixed object* -0.04438672
## Sideswipe, same direction-Fixed object* 21.37991089
## Jackknife-Head on 4.71550881
## Left turn, different roadways-Head on 3.48625009
## Left turn, same roadway-Head on 5.00303353
## Moveable object*-Head on 0.30001433
## Other collision with vehicle*-Head on 1.42816615
## Other non-collision*-Head on 0.11082966
## Overturn/rollover-Head on 0.23280807
## Parked Motor Vehicle-Head on 11.79593335
## Pedalcyclist-Head on 1.11200551
## Pedestrian-Head on 0.84181618
## Ran off road - left-Head on -0.12034438
## Ran off road - right-Head on -0.16107154
## Ran off road - straight-Head on 0.03897337
## Rear end, slow or stop-Head on 57.55776176
## Rear end, turn-Head on 1.29024818
## Right turn, different roadways-Head on 1.74853439
## Right turn, same roadway-Head on 1.43320129
## RR train, engine-Head on 33.69190563
## Sideswipe, opposite direction-Head on 1.87214004
## Sideswipe, same direction-Head on 23.32569923
## Left turn, different roadways-Jackknife 9.68406542
## Left turn, same roadway-Jackknife 11.21780606
## Moveable object*-Jackknife 6.41501660
## Other collision with vehicle*-Jackknife 7.47611096
## Other non-collision*-Jackknife 5.91321128
## Overturn/rollover-Jackknife 6.18124923
## Parked Motor Vehicle-Jackknife 18.03590921
## Pedalcyclist-Jackknife 6.54019324
## Pedestrian-Jackknife 6.90331354
## Ran off road - left-Jackknife 5.87954295
## Ran off road - right-Jackknife 5.92850109
## Ran off road - straight-Jackknife 5.49414669
## Rear end, slow or stop-Jackknife 63.79852355
## Rear end, turn-Jackknife 7.17772162
## Right turn, different roadways-Jackknife 7.83546078
## Right turn, same roadway-Jackknife 7.51394393
## RR train, engine-Jackknife 35.67643900
## Sideswipe, opposite direction-Jackknife 8.03078250
## Sideswipe, same direction-Jackknife 29.56587226
## Left turn, same roadway-Left turn, different roadways 2.69302399
## Moveable object*-Left turn, different roadways -1.98388403
## Other collision with vehicle*-Left turn, different roadways -0.84086671
## Other non-collision*-Left turn, different roadways -2.11610481
## Overturn/rollover-Left turn, different roadways -2.01717635
## Parked Motor Vehicle-Left turn, different roadways 9.47838614
## Pedalcyclist-Left turn, different roadways -1.07269713
## Pedestrian-Left turn, different roadways -1.43007442
## Ran off road - left-Left turn, different roadways -2.37977707
## Ran off road - right-Left turn, different roadways -2.43911224
## Ran off road - straight-Left turn, different roadways -2.14820273
## Rear end, slow or stop-Left turn, different roadways 55.23997238
## Rear end, turn-Left turn, different roadways -0.94949937
## Right turn, different roadways-Left turn, different roadways -0.52891284
## Right turn, same roadway-Left turn, different roadways -0.84287055
## RR train, engine-Left turn, different roadways 31.63083032
## Sideswipe, opposite direction-Left turn, different roadways -0.42251699
## Sideswipe, same direction-Left turn, different roadways 21.00809130
## Moveable object*-Left turn, same roadway -3.54691342
## Other collision with vehicle*-Left turn, same roadway -2.40207253
## Other non-collision*-Left turn, same roadway -3.67245533
## Overturn/rollover-Left turn, same roadway -3.57613345
## Parked Motor Vehicle-Left turn, same roadway 7.91096552
## Pedalcyclist-Left turn, same roadway -2.62453353
## Pedestrian-Left turn, same roadway -2.99162587
## Ran off road - left-Left turn, same roadway -3.93983796
## Ran off road - right-Left turn, same roadway -4.00141536
## Ran off road - straight-Left turn, same roadway -3.70029569
## Rear end, slow or stop-Left turn, same roadway 53.67251866
## Rear end, turn-Left turn, same roadway -2.50728450
## Right turn, different roadways-Left turn, same roadway -2.09114296
## Right turn, same roadway-Left turn, same roadway -2.40493185
## RR train, engine-Left turn, same roadway 30.09109238
## Sideswipe, opposite direction-Left turn, same roadway -1.98690811
## Sideswipe, same direction-Left turn, same roadway 19.44066238
## Other collision with vehicle*-Moveable object* 2.56507085
## Other non-collision*-Moveable object* 1.26733517
## Overturn/rollover-Moveable object* 1.37848409
## Parked Motor Vehicle-Moveable object* 12.91133528
## Pedalcyclist-Moveable object* 2.28887866
## Pedestrian-Moveable object* 1.97741991
## Ran off road - left-Moveable object* 1.02095971
## Ran off road - right-Moveable object* 0.97174619
## Ran off road - straight-Moveable object* 1.21463716
## Rear end, slow or stop-Moveable object* 58.67305965
## Rear end, turn-Moveable object* 2.44070603
## Right turn, different roadways-Moveable object* 2.88162013
## Right turn, same roadway-Moveable object* 2.56690884
## RR train, engine-Moveable object* 34.93085711
## Sideswipe, opposite direction-Moveable object* 2.99752825
## Sideswipe, same direction-Moveable object* 24.44107507
## Other non-collision*-Other collision with vehicle* 0.30373125
## Overturn/rollover-Other collision with vehicle* 0.42418103
## Parked Motor Vehicle-Other collision with vehicle* 11.98316987
## Pedalcyclist-Other collision with vehicle* 1.30783985
## Pedestrian-Other collision with vehicle* 1.03178928
## Ran off road - left-Other collision with vehicle* 0.07041825
## Ran off road - right-Other collision with vehicle* 0.02851835
## Ran off road - straight-Other collision with vehicle* 0.23463169
## Rear end, slow or stop-Other collision with vehicle* 57.74498444
## Rear end, turn-Other collision with vehicle* 1.48229323
## Right turn, different roadways-Other collision with vehicle* 1.93816106
## Right turn, same roadway-Other collision with vehicle* 1.62291338
## RR train, engine-Other collision with vehicle* 33.89697893
## Sideswipe, opposite direction-Other collision with vehicle* 2.06071687
## Sideswipe, same direction-Other collision with vehicle* 23.51293227
## Overturn/rollover-Other non-collision* 2.41224227
## Parked Motor Vehicle-Other non-collision* 14.04581856
## Pedalcyclist-Other non-collision* 3.20476551
## Pedestrian-Other non-collision* 3.04616463
## Ran off road - left-Other non-collision* 2.07008801
## Ran off road - right-Other non-collision* 2.04990491
## Ran off road - straight-Other non-collision* 2.13535534
## Rear end, slow or stop-Other non-collision* 59.80786659
## Rear end, turn-Other non-collision* 3.45732797
## Right turn, different roadways-Other non-collision* 3.95887816
## Right turn, same roadway-Other non-collision* 3.64207312
## RR train, engine-Other non-collision* 35.57736768
## Sideswipe, opposite direction-Other non-collision* 4.10024169
## Sideswipe, same direction-Other non-collision* 25.57563952
## Parked Motor Vehicle-Overturn/rollover 13.47734707
## Pedalcyclist-Overturn/rollover 2.73017120
## Pedestrian-Overturn/rollover 2.50392412
## Ran off road - left-Overturn/rollover 1.53604113
## Ran off road - right-Overturn/rollover 1.50378986
## Ran off road - straight-Overturn/rollover 1.65850376
## Rear end, slow or stop-Overturn/rollover 59.23927088
## Rear end, turn-Overturn/rollover 2.93720068
## Right turn, different roadways-Overturn/rollover 3.41313216
## Right turn, same roadway-Overturn/rollover 3.09718638
## RR train, engine-Overturn/rollover 35.23594371
## Sideswipe, opposite direction-Overturn/rollover 3.54420283
## Sideswipe, same direction-Overturn/rollover 25.00713687
## Pedalcyclist-Parked Motor Vehicle -9.46900410
## Pedestrian-Parked Motor Vehicle -9.85073913
## Ran off road - left-Parked Motor Vehicle -10.79666195
## Ran off road - right-Parked Motor Vehicle -10.86169022
## Ran off road - straight-Parked Motor Vehicle -10.54514584
## Rear end, slow or stop-Parked Motor Vehicle 46.80413739
## Rear end, turn-Parked Motor Vehicle -9.36064673
## Right turn, different roadways-Parked Motor Vehicle -8.95130477
## Right turn, same roadway-Parked Motor Vehicle -9.26483246
## RR train, engine-Parked Motor Vehicle 23.26428685
## Sideswipe, opposite direction-Parked Motor Vehicle -8.85043680
## Sideswipe, same direction-Parked Motor Vehicle 12.57232082
## Pedestrian-Pedalcyclist 3.21102993
## Ran off road - left-Pedalcyclist 2.21913234
## Ran off road - right-Pedalcyclist 2.22206033
## Ran off road - straight-Pedalcyclist 2.15780594
## Rear end, slow or stop-Pedalcyclist 60.01998175
## Rear end, turn-Pedalcyclist 3.57820633
## Right turn, different roadways-Pedalcyclist 4.13034443
## Right turn, same roadway-Pedalcyclist 3.81193058
## RR train, engine-Pedalcyclist 35.19299107
## Sideswipe, opposite direction-Pedalcyclist 4.29052153
## Sideswipe, same direction-Pedalcyclist 25.78759725
## Ran off road - left-Pedestrian 0.62058403
## Ran off road - right-Pedestrian 0.57726315
## Ran off road - straight-Pedestrian 0.79066501
## Rear end, slow or stop-Pedestrian 58.29083872
## Rear end, turn-Pedestrian 2.03400541
## Right turn, different roadways-Pedestrian 2.48695055
## Right turn, same roadway-Pedestrian 2.17180657
## RR train, engine-Pedestrian 34.46411733
## Sideswipe, opposite direction-Pedestrian 2.60822850
## Sideswipe, same direction-Pedestrian 24.05879927
## Ran off road - right-Ran off road - left 1.71136294
## Ran off road - straight-Ran off road - left 1.89219712
## Rear end, slow or stop-Ran off road - left 59.43746556
## Rear end, turn-Ran off road - left 3.15500148
## Right turn, different roadways-Ran off road - left 3.62085480
## Right turn, same roadway-Ran off road - left 3.30525673
## RR train, engine-Ran off road - left 35.51427825
## Sideswipe, opposite direction-Ran off road - left 3.74770273
## Sideswipe, same direction-Ran off road - left 25.20537152
## Ran off road - straight-Ran off road - right 1.73135629
## Rear end, slow or stop-Ran off road - right 59.20994431
## Rear end, turn-Ran off road - right 2.96567557
## Right turn, different roadways-Ran off road - right 3.41240828
## Right turn, same roadway-Ran off road - right 3.09748655
## RR train, engine-Ran off road - right 35.42746360
## Sideswipe, opposite direction-Ran off road - right 3.53093598
## Sideswipe, same direction-Ran off road - right 24.97793267
## Rear end, slow or stop-Ran off road - straight 61.00131177
## Rear end, turn-Ran off road - straight 4.56496666
## Right turn, different roadways-Ran off road - straight 5.11401834
## Right turn, same roadway-Ran off road - straight 4.79569977
## RR train, engine-Ran off road - straight 36.21857485
## Sideswipe, opposite direction-Ran off road - straight 5.27309537
## Sideswipe, same direction-Ran off road - straight 26.76893612
## Rear end, turn-Rear end, slow or stop -55.12435140
## Right turn, different roadways-Rear end, slow or stop -54.71522530
## Right turn, same roadway-Rear end, slow or stop -55.02874464
## RR train, engine-Rear end, slow or stop -22.49859483
## Sideswipe, opposite direction-Rear end, slow or stop -54.61446547
## Sideswipe, same direction-Rear end, slow or stop -33.19186409
## Right turn, different roadways-Rear end, turn 2.53055495
## Right turn, same roadway-Rear end, turn 2.21422940
## RR train, engine-Rear end, turn 34.26880594
## Sideswipe, opposite direction-Rear end, turn 2.66619862
## Sideswipe, same direction-Rear end, turn 24.13473148
## Right turn, same roadway-Right turn, different roadways 1.19513586
## RR train, engine-Right turn, different roadways 33.52156999
## Sideswipe, opposite direction-Right turn, different roadways 1.62887207
## Sideswipe, same direction-Right turn, different roadways 23.07621576
## RR train, engine-Right turn, same roadway 33.84558992
## Sideswipe, opposite direction-Right turn, same roadway 1.96184167
## Sideswipe, same direction-Right turn, same roadway 23.40998780
## Sideswipe, opposite direction-RR train, engine 37.74733761
## Sideswipe, same direction-RR train, engine 59.30291793
## Sideswipe, same direction-Sideswipe, opposite direction 22.73898179
## p adj
## Animal-Angle 0.0000000
## Backing up-Angle 0.0000000
## Fixed object*-Angle 0.0000000
## Head on-Angle 0.0000000
## Jackknife-Angle 0.0000000
## Left turn, different roadways-Angle 0.0000000
## Left turn, same roadway-Angle 0.0000000
## Moveable object*-Angle 0.0000000
## Other collision with vehicle*-Angle 0.0000000
## Other non-collision*-Angle 0.0000000
## Overturn/rollover-Angle 0.0000000
## Parked Motor Vehicle-Angle 0.0000000
## Pedalcyclist-Angle 0.0000000
## Pedestrian-Angle 0.0000000
## Ran off road - left-Angle 0.0000000
## Ran off road - right-Angle 0.0000000
## Ran off road - straight-Angle 0.0000000
## Rear end, slow or stop-Angle 0.0000000
## Rear end, turn-Angle 0.0000000
## Right turn, different roadways-Angle 0.0000000
## Right turn, same roadway-Angle 0.0000000
## RR train, engine-Angle 0.9912899
## Sideswipe, opposite direction-Angle 0.0000000
## Sideswipe, same direction-Angle 0.0000000
## Backing up-Animal 0.0000000
## Fixed object*-Animal 0.0000000
## Head on-Animal 0.0073747
## Jackknife-Animal 1.0000000
## Left turn, different roadways-Animal 0.0000000
## Left turn, same roadway-Animal 0.0000000
## Moveable object*-Animal 0.9973226
## Other collision with vehicle*-Animal 0.0348157
## Other non-collision*-Animal 1.0000000
## Overturn/rollover-Animal 1.0000000
## Parked Motor Vehicle-Animal 0.0000000
## Pedalcyclist-Animal 1.0000000
## Pedestrian-Animal 0.6477210
## Ran off road - left-Animal 1.0000000
## Ran off road - right-Animal 1.0000000
## Ran off road - straight-Animal 1.0000000
## Rear end, slow or stop-Animal 0.0000000
## Rear end, turn-Animal 0.5810762
## Right turn, different roadways-Animal 0.0006737
## Right turn, same roadway-Animal 0.0163089
## RR train, engine-Animal 1.0000000
## Sideswipe, opposite direction-Animal 0.0000107
## Sideswipe, same direction-Animal 0.0000000
## Fixed object*-Backing up 0.0000000
## Head on-Backing up 0.0000000
## Jackknife-Backing up 0.0000000
## Left turn, different roadways-Backing up 0.0000000
## Left turn, same roadway-Backing up 0.0000000
## Moveable object*-Backing up 0.0000000
## Other collision with vehicle*-Backing up 0.0000000
## Other non-collision*-Backing up 0.0000000
## Overturn/rollover-Backing up 0.0000000
## Parked Motor Vehicle-Backing up 0.9999998
## Pedalcyclist-Backing up 0.0000000
## Pedestrian-Backing up 0.0000000
## Ran off road - left-Backing up 0.0000000
## Ran off road - right-Backing up 0.0000000
## Ran off road - straight-Backing up 0.0000000
## Rear end, slow or stop-Backing up 0.0000000
## Rear end, turn-Backing up 0.0000000
## Right turn, different roadways-Backing up 0.0000000
## Right turn, same roadway-Backing up 0.0000000
## RR train, engine-Backing up 0.9999632
## Sideswipe, opposite direction-Backing up 0.0000000
## Sideswipe, same direction-Backing up 0.0000000
## Head on-Fixed object* 0.0049352
## Jackknife-Fixed object* 0.9811880
## Left turn, different roadways-Fixed object* 0.9996901
## Left turn, same roadway-Fixed object* 0.0000000
## Moveable object*-Fixed object* 0.0000000
## Other collision with vehicle*-Fixed object* 0.0003054
## Other non-collision*-Fixed object* 0.0000000
## Overturn/rollover-Fixed object* 0.0000000
## Parked Motor Vehicle-Fixed object* 0.0000000
## Pedalcyclist-Fixed object* 0.0007923
## Pedestrian-Fixed object* 0.0000000
## Ran off road - left-Fixed object* 0.0000000
## Ran off road - right-Fixed object* 0.0000000
## Ran off road - straight-Fixed object* 0.0000001
## Rear end, slow or stop-Fixed object* 0.0000000
## Rear end, turn-Fixed object* 0.0002572
## Right turn, different roadways-Fixed object* 0.0112284
## Right turn, same roadway-Fixed object* 0.0002271
## RR train, engine-Fixed object* 1.0000000
## Sideswipe, opposite direction-Fixed object* 0.0312524
## Sideswipe, same direction-Fixed object* 0.0000000
## Jackknife-Head on 1.0000000
## Left turn, different roadways-Head on 0.0000485
## Left turn, same roadway-Head on 0.0000000
## Moveable object*-Head on 0.3457029
## Other collision with vehicle*-Head on 1.0000000
## Other non-collision*-Head on 0.0957846
## Overturn/rollover-Head on 0.2049477
## Parked Motor Vehicle-Head on 0.0000000
## Pedalcyclist-Head on 0.9354763
## Pedestrian-Head on 0.9907031
## Ran off road - left-Head on 0.0199847
## Ran off road - right-Head on 0.0129136
## Ran off road - straight-Head on 0.0602712
## Rear end, slow or stop-Head on 0.0000000
## Rear end, turn-Head on 0.9999943
## Right turn, different roadways-Head on 1.0000000
## Right turn, same roadway-Head on 1.0000000
## RR train, engine-Head on 1.0000000
## Sideswipe, opposite direction-Head on 0.9999998
## Sideswipe, same direction-Head on 0.0000000
## Left turn, different roadways-Jackknife 0.9233614
## Left turn, same roadway-Jackknife 0.2943252
## Moveable object*-Jackknife 1.0000000
## Other collision with vehicle*-Jackknife 1.0000000
## Other non-collision*-Jackknife 1.0000000
## Overturn/rollover-Jackknife 1.0000000
## Parked Motor Vehicle-Jackknife 0.0000000
## Pedalcyclist-Jackknife 1.0000000
## Pedestrian-Jackknife 1.0000000
## Ran off road - left-Jackknife 1.0000000
## Ran off road - right-Jackknife 1.0000000
## Ran off road - straight-Jackknife 1.0000000
## Rear end, slow or stop-Jackknife 0.0000000
## Rear end, turn-Jackknife 1.0000000
## Right turn, different roadways-Jackknife 0.9999996
## Right turn, same roadway-Jackknife 1.0000000
## RR train, engine-Jackknife 1.0000000
## Sideswipe, opposite direction-Jackknife 0.9999947
## Sideswipe, same direction-Jackknife 0.0000000
## Left turn, same roadway-Left turn, different roadways 0.0003015
## Moveable object*-Left turn, different roadways 0.0000000
## Other collision with vehicle*-Left turn, different roadways 0.0000017
## Other non-collision*-Left turn, different roadways 0.0000000
## Overturn/rollover-Left turn, different roadways 0.0000000
## Parked Motor Vehicle-Left turn, different roadways 0.0000000
## Pedalcyclist-Left turn, different roadways 0.0000385
## Pedestrian-Left turn, different roadways 0.0000000
## Ran off road - left-Left turn, different roadways 0.0000000
## Ran off road - right-Left turn, different roadways 0.0000000
## Ran off road - straight-Left turn, different roadways 0.0000000
## Rear end, slow or stop-Left turn, different roadways 0.0000000
## Rear end, turn-Left turn, different roadways 0.0000028
## Right turn, different roadways-Left turn, different roadways 0.0001050
## Right turn, same roadway-Left turn, different roadways 0.0000010
## RR train, engine-Left turn, different roadways 1.0000000
## Sideswipe, opposite direction-Left turn, different roadways 0.0002673
## Sideswipe, same direction-Left turn, different roadways 0.0000000
## Moveable object*-Left turn, same roadway 0.0000000
## Other collision with vehicle*-Left turn, same roadway 0.0000000
## Other non-collision*-Left turn, same roadway 0.0000000
## Overturn/rollover-Left turn, same roadway 0.0000000
## Parked Motor Vehicle-Left turn, same roadway 0.0000000
## Pedalcyclist-Left turn, same roadway 0.0000000
## Pedestrian-Left turn, same roadway 0.0000000
## Ran off road - left-Left turn, same roadway 0.0000000
## Ran off road - right-Left turn, same roadway 0.0000000
## Ran off road - straight-Left turn, same roadway 0.0000000
## Rear end, slow or stop-Left turn, same roadway 0.0000000
## Rear end, turn-Left turn, same roadway 0.0000000
## Right turn, different roadways-Left turn, same roadway 0.0000000
## Right turn, same roadway-Left turn, same roadway 0.0000000
## RR train, engine-Left turn, same roadway 1.0000000
## Sideswipe, opposite direction-Left turn, same roadway 0.0000000
## Sideswipe, same direction-Left turn, same roadway 0.0000000
## Other collision with vehicle*-Moveable object* 0.7067894
## Other non-collision*-Moveable object* 0.9999751
## Overturn/rollover-Moveable object* 1.0000000
## Parked Motor Vehicle-Moveable object* 0.0000000
## Pedalcyclist-Moveable object* 1.0000000
## Pedestrian-Moveable object* 0.9999915
## Ran off road - left-Moveable object* 0.9998798
## Ran off road - right-Moveable object* 0.9999630
## Ran off road - straight-Moveable object* 0.9823832
## Rear end, slow or stop-Moveable object* 0.0000000
## Rear end, turn-Moveable object* 0.9996571
## Right turn, different roadways-Moveable object* 0.0806894
## Right turn, same roadway-Moveable object* 0.5463493
## RR train, engine-Moveable object* 1.0000000
## Sideswipe, opposite direction-Moveable object* 0.0033381
## Sideswipe, same direction-Moveable object* 0.0000000
## Other non-collision*-Other collision with vehicle* 0.2511684
## Overturn/rollover-Other collision with vehicle* 0.4763433
## Parked Motor Vehicle-Other collision with vehicle* 0.0000000
## Pedalcyclist-Other collision with vehicle* 0.9884525
## Pedestrian-Other collision with vehicle* 0.9999091
## Ran off road - left-Other collision with vehicle* 0.0817740
## Ran off road - right-Other collision with vehicle* 0.0622812
## Ran off road - straight-Other collision with vehicle* 0.1424875
## Rear end, slow or stop-Other collision with vehicle* 0.0000000
## Rear end, turn-Other collision with vehicle* 1.0000000
## Right turn, different roadways-Other collision with vehicle* 1.0000000
## Right turn, same roadway-Other collision with vehicle* 1.0000000
## RR train, engine-Other collision with vehicle* 1.0000000
## Sideswipe, opposite direction-Other collision with vehicle* 0.9992430
## Sideswipe, same direction-Other collision with vehicle* 0.0000000
## Overturn/rollover-Other non-collision* 1.0000000
## Parked Motor Vehicle-Other non-collision* 0.0000000
## Pedalcyclist-Other non-collision* 1.0000000
## Pedestrian-Other non-collision* 0.9404167
## Ran off road - left-Other non-collision* 1.0000000
## Ran off road - right-Other non-collision* 1.0000000
## Ran off road - straight-Other non-collision* 1.0000000
## Rear end, slow or stop-Other non-collision* 0.0000000
## Rear end, turn-Other non-collision* 0.8798302
## Right turn, different roadways-Other non-collision* 0.0235537
## Right turn, same roadway-Other non-collision* 0.1720249
## RR train, engine-Other non-collision* 1.0000000
## Sideswipe, opposite direction-Other non-collision* 0.0020582
## Sideswipe, same direction-Other non-collision* 0.0000000
## Parked Motor Vehicle-Overturn/rollover 0.0000000
## Pedalcyclist-Overturn/rollover 1.0000000
## Pedestrian-Overturn/rollover 0.9971853
## Ran off road - left-Overturn/rollover 1.0000000
## Ran off road - right-Overturn/rollover 1.0000000
## Ran off road - straight-Overturn/rollover 0.9998774
## Rear end, slow or stop-Overturn/rollover 0.0000000
## Rear end, turn-Overturn/rollover 0.9860534
## Right turn, different roadways-Overturn/rollover 0.0508225
## Right turn, same roadway-Overturn/rollover 0.3460819
## RR train, engine-Overturn/rollover 1.0000000
## Sideswipe, opposite direction-Overturn/rollover 0.0035430
## Sideswipe, same direction-Overturn/rollover 0.0000000
## Pedalcyclist-Parked Motor Vehicle 0.0000000
## Pedestrian-Parked Motor Vehicle 0.0000000
## Ran off road - left-Parked Motor Vehicle 0.0000000
## Ran off road - right-Parked Motor Vehicle 0.0000000
## Ran off road - straight-Parked Motor Vehicle 0.0000000
## Rear end, slow or stop-Parked Motor Vehicle 0.0000000
## Rear end, turn-Parked Motor Vehicle 0.0000000
## Right turn, different roadways-Parked Motor Vehicle 0.0000000
## Right turn, same roadway-Parked Motor Vehicle 0.0000000
## RR train, engine-Parked Motor Vehicle 0.9999452
## Sideswipe, opposite direction-Parked Motor Vehicle 0.0000000
## Sideswipe, same direction-Parked Motor Vehicle 0.0000000
## Pedestrian-Pedalcyclist 0.9999996
## Ran off road - left-Pedalcyclist 1.0000000
## Ran off road - right-Pedalcyclist 1.0000000
## Ran off road - straight-Pedalcyclist 0.9999836
## Rear end, slow or stop-Pedalcyclist 0.0000000
## Rear end, turn-Pedalcyclist 0.9999799
## Right turn, different roadways-Pedalcyclist 0.8032361
## Right turn, same roadway-Pedalcyclist 0.9784656
## RR train, engine-Pedalcyclist 1.0000000
## Sideswipe, opposite direction-Pedalcyclist 0.5124844
## Sideswipe, same direction-Pedalcyclist 0.0000000
## Ran off road - left-Pedestrian 0.8342583
## Ran off road - right-Pedestrian 0.8383812
## Ran off road - straight-Pedestrian 0.6979770
## Rear end, slow or stop-Pedestrian 0.0000000
## Rear end, turn-Pedestrian 1.0000000
## Right turn, different roadways-Pedestrian 0.8715591
## Right turn, same roadway-Pedestrian 0.9994036
## RR train, engine-Pedestrian 1.0000000
## Sideswipe, opposite direction-Pedestrian 0.3577325
## Sideswipe, same direction-Pedestrian 0.0000000
## Ran off road - right-Ran off road - left 1.0000000
## Ran off road - straight-Ran off road - left 0.9999998
## Rear end, slow or stop-Ran off road - left 0.0000000
## Rear end, turn-Ran off road - left 0.7611587
## Right turn, different roadways-Ran off road - left 0.0022497
## Right turn, same roadway-Ran off road - left 0.0423874
## RR train, engine-Ran off road - left 1.0000000
## Sideswipe, opposite direction-Ran off road - left 0.0000475
## Sideswipe, same direction-Ran off road - left 0.0000000
## Ran off road - straight-Ran off road - right 0.9999962
## Rear end, slow or stop-Ran off road - right 0.0000000
## Rear end, turn-Ran off road - right 0.7749855
## Right turn, different roadways-Ran off road - right 0.0009965
## Right turn, same roadway-Ran off road - right 0.0284564
## RR train, engine-Ran off road - right 1.0000000
## Sideswipe, opposite direction-Ran off road - right 0.0000094
## Sideswipe, same direction-Ran off road - right 0.0000000
## Rear end, slow or stop-Ran off road - straight 0.0000000
## Rear end, turn-Ran off road - straight 0.5936090
## Right turn, different roadways-Ran off road - straight 0.0202651
## Right turn, same roadway-Ran off road - straight 0.1036444
## RR train, engine-Ran off road - straight 1.0000000
## Sideswipe, opposite direction-Ran off road - straight 0.0035927
## Sideswipe, same direction-Ran off road - straight 0.0000000
## Rear end, turn-Rear end, slow or stop 0.0000000
## Right turn, different roadways-Rear end, slow or stop 0.0000000
## Right turn, same roadway-Rear end, slow or stop 0.0000000
## RR train, engine-Rear end, slow or stop 0.0000007
## Sideswipe, opposite direction-Rear end, slow or stop 0.0000000
## Sideswipe, same direction-Rear end, slow or stop 0.0000000
## Right turn, different roadways-Rear end, turn 0.9990682
## Right turn, same roadway-Rear end, turn 1.0000000
## RR train, engine-Rear end, turn 1.0000000
## Sideswipe, opposite direction-Rear end, turn 0.9455419
## Sideswipe, same direction-Rear end, turn 0.0000000
## Right turn, same roadway-Right turn, different roadways 1.0000000
## RR train, engine-Right turn, different roadways 1.0000000
## Sideswipe, opposite direction-Right turn, different roadways 1.0000000
## Sideswipe, same direction-Right turn, different roadways 0.0000000
## RR train, engine-Right turn, same roadway 1.0000000
## Sideswipe, opposite direction-Right turn, same roadway 0.9996784
## Sideswipe, same direction-Right turn, same roadway 0.0000000
## Sideswipe, opposite direction-RR train, engine 1.0000000
## Sideswipe, same direction-RR train, engine 0.7338009
## Sideswipe, same direction-Sideswipe, opposite direction 0.0000000##Statistical Analyses Using t Test
Is there a significant difference between the amount of crashes in rain v. no rain?
crashes_rain = crashes %>%
filter(WeatherCondition1 != "Unknown", WeatherCondition1 != "NA",
WeatherCondition1 != "") %>%
mutate(WeatherCondition1 = case_when(
WeatherCondition1 == "Rain" ~ "Rain",
TRUE ~ "Not Rain")) %>%
group_by(key_crash,WeatherCondition1) %>%
summarize(count = length(key_crash))## `summarise()` has grouped output by 'key_crash'. You can override using the `.groups` argument.crashes_rain <- mutate(crashes_rain, rain = WeatherCondition1 == "Rain")
t.test(count ~ rain, data = crashes_rain)##
## Welch Two Sample t-test
##
## data: count by rain
## t = 6.5926, df = 19135, p-value = 4.434e-11
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.06057022 0.11182639
## sample estimates:
## mean in group FALSE mean in group TRUE
## 2.553820 2.467622crashes_rain %>%
ggplot(aes(fill=WeatherCondition1, x=WeatherCondition1)) +
geom_bar(show.legend = FALSE) +
geom_text(stat="count", aes(x=WeatherCondition1, label=..count..), vjust=-0.25)